ggcristian commited on
Commit
8055678
·
1 Parent(s): 1c52fac

Add Magistral and Qwen3-Coder hehe

Browse files
results/aggregated_scores_icarus.csv CHANGED
@@ -1,29 +1,31 @@
1
  Model,Agg S2R,Agg MC,Agg VerilogEval S2R,Agg VerilogEval MC,Agg RTLLM,Agg VeriGen
2
- DeepSeek R1-0528,76.79,77.79,78.84,79.65,70.04,71.64
3
- DeepSeek R1,75.53,76.24,77.67,77.55,68.49,71.92
4
- Llama 3.1 405B,53.23,55.25,56.55,54.35,42.26,58.23
5
- Qwen3 235B A22B,69.16,66.42,74.83,68.36,50.48,60.01
6
- Qwen2.5 72B,49.36,49.97,50.22,50.74,46.51,47.42
7
- Llama 3.(1-3) 70B,39.48,46.29,39.47,40.83,39.53,64.29
8
- QwQ 32B,62.6,41.92,65.02,38.68,54.6,52.6
9
- Qwen2.5 32B,50.39,41.94,50.86,41.01,48.86,45.0
10
- StarChat2 15B v0.1,38.76,41.72,36.68,35.58,45.61,61.96
11
- DeepSeek R1 Distill Qwen 14B,23.14,24.94,24.94,24.3,17.22,27.07
12
- CodeLlama 70B,33.04,35.59,32.2,32.27,35.81,46.56
13
- DeepSeek Coder 33B,27.03,39.59,22.65,37.64,41.47,46.01
14
- QwenCoder 2.5 32B,44.02,46.49,43.68,44.05,45.15,54.52
15
- DeepCoder 14B,26.4,32.92,27.32,33.18,23.38,32.07
16
- QwenCoder 2.5 14B,37.69,41.98,35.32,40.26,45.5,47.64
17
- SeedCoder 8B,50.89,36.79,51.71,36.52,48.2,37.66
18
- SeedCoder 8B Reasoning,43.75,49.83,47.85,46.76,30.22,59.97
19
- OpenCoder 8B,30.06,36.95,26.8,34.57,40.83,44.8
20
- QwenCoder 2.5 7B,14.15,34.5,6.57,33.0,39.16,39.46
21
- DeepSeek Coder 6.7B,31.87,30.9,28.88,28.99,41.75,37.19
22
- CodeV R1 Distill Qwen 7B,36.12,30.66,32.35,20.56,48.57,63.98
23
- HaVen-CodeQwen,43.58,50.68,44.67,47.23,39.98,62.04
24
- CodeV-QW-7B,20.37,52.85,18.82,50.64,25.48,60.14
25
- RTLCoder Mistral,21.82,32.19,23.71,26.34,15.58,51.5
26
- RTLCoder DeepSeek,37.22,40.19,38.33,36.13,33.58,53.57
27
- OriGen,52.88,55.97,53.0,50.0,52.47,75.66
28
- CodeV-CL-7B,14.73,35.1,12.71,30.93,21.38,48.85
29
- CodeV-DS-6.7B,19.62,49.29,14.8,46.08,35.52,59.87
 
 
 
1
  Model,Agg S2R,Agg MC,Agg VerilogEval S2R,Agg VerilogEval MC,Agg RTLLM,Agg VeriGen
2
+ DeepSeek R1-0528,76.79,78.86,78.84,79.65,70.04,71.64
3
+ DeepSeek R1,75.53,76.99,77.67,77.55,68.49,71.92
4
+ Qwen3 Coder 480B A35B,60.56,57.84,62.98,56.13,52.56,73.45
5
+ Llama 3.1 405B,53.23,54.73,56.55,54.35,42.26,58.23
6
+ Qwen3 236B A22B,69.16,67.53,74.83,68.36,50.48,60.01
7
+ Qwen2.5 72B,49.36,50.41,50.22,50.74,46.51,47.42
8
+ Llama 3.(1-3) 70B,39.48,43.15,39.47,40.83,39.53,64.29
9
+ QwQ 32B,62.6,40.06,65.02,38.68,54.6,52.6
10
+ Qwen2.5 32B,50.39,41.4,50.86,41.01,48.86,45.0
11
+ Magistral Small 2506,40.82,22.62,40.96,19.96,40.37,46.88
12
+ StarChat2 15B v0.1,38.76,38.19,36.68,35.58,45.61,61.96
13
+ DeepSeek R1 Distill Qwen 14B,23.14,24.57,24.94,24.3,17.22,27.07
14
+ CodeLlama 70B,33.04,33.68,32.2,32.27,35.81,46.56
15
+ DeepSeek Coder 33B,27.03,38.47,22.65,37.64,41.47,46.01
16
+ QwenCoder 2.5 32B,44.02,45.08,43.68,44.05,45.15,54.52
17
+ DeepCoder 14B,26.4,33.07,27.32,33.18,23.38,32.07
18
+ QwenCoder 2.5 14B,37.69,40.99,35.32,40.26,45.5,47.64
19
+ SeedCoder 8B,50.89,36.63,51.71,36.52,48.2,37.66
20
+ SeedCoder 8B Reasoning,43.75,48.07,47.85,46.76,30.22,59.97
21
+ OpenCoder 8B,30.06,35.58,26.8,34.57,40.83,44.8
22
+ QwenCoder 2.5 7B,14.15,33.64,6.57,33.0,39.16,39.46
23
+ DeepSeek Coder 6.7B,31.87,29.8,28.88,28.99,41.75,37.19
24
+ CodeV R1 Distill Qwen 7B,36.12,24.85,32.35,20.56,48.57,63.98
25
+ HaVen-CodeQwen,43.58,48.69,44.67,47.23,39.98,62.04
26
+ CodeV-QW-7B,20.37,51.58,18.82,50.64,25.48,60.14
27
+ RTLCoder Mistral,21.82,28.83,23.71,26.34,15.58,51.5
28
+ RTLCoder DeepSeek,37.22,37.85,38.33,36.13,33.58,53.57
29
+ OriGen,52.88,52.54,53.0,50.0,52.47,75.66
30
+ CodeV-CL-7B,14.73,32.7,12.71,30.93,21.38,48.85
31
+ CodeV-DS-6.7B,19.62,47.44,14.8,46.08,35.52,59.87
results/aggregated_scores_verilator.csv CHANGED
@@ -1,29 +1,31 @@
1
  Model,Agg S2R,Agg MC,Agg VerilogEval S2R,Agg VerilogEval MC,Agg RTLLM,Agg VeriGen
2
- DeepSeek R1-0528,75.83,77.12,77.64,78.78,69.85,71.64
3
- DeepSeek R1,75.78,75.4,78.04,76.42,68.31,72.05
4
- Llama 3.1 405B,52.08,55.01,54.39,55.1,44.48,54.7
5
- Qwen3 236B A22B,69.17,65.8,74.24,67.55,52.44,60.01
6
- Qwen2.5 72B,51.72,52.09,52.7,52.44,48.49,50.95
7
- Llama 3.(1-3) 70B,40.06,47.44,39.84,42.69,40.79,63.12
8
- QwQ 32B,63.76,44.52,66.09,38.64,56.06,63.91
9
- Qwen2.5 32B,53.2,44.35,54.23,43.05,49.81,48.64
10
- StarChat2 15B v0.1,40.2,41.91,37.97,35.85,47.54,61.91
11
- DeepSeek R1 Distill Qwen 14B,22.93,25.34,24.44,24.43,17.96,28.33
12
- CodeLlama 70B,34.55,38.02,33.58,33.89,37.75,51.62
13
- DeepSeek Coder 33B,27.93,41.16,23.14,38.14,43.71,51.12
14
- QwenCoder 2.5 32B,45.72,48.38,45.31,46.49,47.07,54.62
15
- DeepCoder 14B,27.06,33.64,27.87,33.39,24.38,34.45
16
- QwenCoder 2.5 14B,39.39,43.55,36.86,41.54,47.73,50.17
17
- SeedCoder 8B,52.04,38.31,52.58,37.24,50.25,41.84
18
- SeedCoder 8B Reasoning,43.41,50.73,47.02,47.51,31.51,61.35
19
- OpenCoder 8B,30.45,37.27,26.96,35.34,41.96,43.63
20
- QwenCoder 2.5 7B,14.91,37.2,7.08,34.02,40.74,47.7
21
- DeepSeek Coder 6.7B,34.14,31.2,30.46,29.39,46.28,37.19
22
- CodeV R1 Distill Qwen 7B,37.26,30.97,33.33,21.67,50.21,61.63
23
- HaVen-CodeQwen,44.57,52.4,45.09,48.07,42.87,66.7
24
- CodeV-QW-7B,21.69,52.12,19.85,50.51,27.77,57.45
25
- RTLCoder Mistral,22.64,33.32,24.75,26.44,15.68,56.02
26
- RTLCoder DeepSeek,38.48,39.89,39.19,35.74,36.14,53.57
27
- OriGen,52.85,55.3,52.72,49.84,53.29,73.3
28
- CodeV-CL-7B,15.32,35.2,13.21,31.06,22.28,48.85
29
- CodeV-DS-6.7B,19.28,49.43,14.23,45.91,35.94,61.05
 
 
 
1
  Model,Agg S2R,Agg MC,Agg VerilogEval S2R,Agg VerilogEval MC,Agg RTLLM,Agg VeriGen
2
+ DeepSeek R1-0528,75.83,78.07,77.64,78.78,69.85,71.64
3
+ DeepSeek R1,75.78,75.99,78.04,76.42,68.31,72.05
4
+ Qwen3 Coder 480B A35B,61.46,58.18,64.01,56.5,53.04,73.45
5
+ Llama 3.1 405B,52.08,55.06,54.39,55.1,44.48,54.7
6
+ Qwen3 236B A22B,69.17,66.8,74.24,67.55,52.44,60.01
7
+ Qwen2.5 72B,51.72,52.29,52.7,52.44,48.49,50.95
8
+ Llama 3.(1-3) 70B,40.06,44.71,39.84,42.69,40.79,63.12
9
+ QwQ 32B,63.76,41.14,66.09,38.64,56.06,63.91
10
+ Qwen2.5 32B,53.2,43.6,54.23,43.05,49.81,48.64
11
+ Magistral Small 2506,41.02,23.48,41.25,20.36,40.27,51.89
12
+ StarChat2 15B v0.1,40.2,38.43,37.97,35.85,47.54,61.91
13
+ DeepSeek R1 Distill Qwen 14B,22.93,24.82,24.44,24.43,17.96,28.33
14
+ CodeLlama 70B,34.55,35.64,33.58,33.89,37.75,51.62
15
+ DeepSeek Coder 33B,27.93,39.42,23.14,38.14,43.71,51.12
16
+ QwenCoder 2.5 32B,45.72,47.29,45.31,46.49,47.07,54.62
17
+ DeepCoder 14B,27.06,33.49,27.87,33.39,24.38,34.45
18
+ QwenCoder 2.5 14B,39.39,42.39,36.86,41.54,47.73,50.17
19
+ SeedCoder 8B,52.04,37.69,52.58,37.24,50.25,41.84
20
+ SeedCoder 8B Reasoning,43.41,48.88,47.02,47.51,31.51,61.35
21
+ OpenCoder 8B,30.45,36.16,26.96,35.34,41.96,43.63
22
+ QwenCoder 2.5 7B,14.91,35.37,7.08,34.02,40.74,47.7
23
+ "DeepSeek Coder 6,7B",34.14,30.16,30.46,29.39,46.28,37.19
24
+ CodeV R1 Distill Qwen 7B,37.26,25.62,33.33,21.67,50.21,61.63
25
+ HaVen-CodeQwen,44.57,49.91,45.09,48.07,42.87,66.7
26
+ CodeV-QW-7B,21.69,51.2,19.85,50.51,27.77,57.45
27
+ RTLCoder Mistral,22.64,29.36,24.75,26.44,15.68,56.02
28
+ RTLCoder DeepSeek,38.48,37.5,39.19,35.74,36.14,53.57
29
+ OriGen,52.85,52.16,52.72,49.84,53.29,73.3
30
+ CodeV-CL-7B,15.32,32.82,13.21,31.06,22.28,48.85
31
+ CodeV-DS-6.7B,19.28,47.41,14.23,45.91,35.94,61.05
results/compute_agg_results.py CHANGED
@@ -1,4 +1,6 @@
1
  import csv
 
 
2
 
3
 
4
  def agg_S2R_metrics(verilog_eval_rtl, rtllm):
@@ -26,70 +28,82 @@ def avg_ppa(metric):
26
  return round(result, 2)
27
 
28
 
29
- #######################################
30
-
31
- RESULTS_CSV = "results.csv"
32
- AGG_CSV = "aggregated_scores.csv"
33
-
34
- agg_csv = []
35
- first_row_agg_csv = [
36
- "Model",
37
- "Agg S2R",
38
- "Agg MC",
39
- "Agg VerilogEval S2R",
40
- "Agg VerilogEval MC",
41
- "Agg RTLLM",
42
- "Agg VeriGen",
43
- ]
44
- agg_csv.append(first_row_agg_csv)
45
-
46
- with open(RESULTS_CSV, newline="", encoding="utf-8") as csvfile:
47
- reader = csv.reader(csvfile)
48
- goals_row = next(reader)[1:] # Skip the first column (model name)
49
- benchmarks_row = next(reader)[1:]
50
-
51
- for model_metrics in reader:
52
- model = model_metrics[0]
53
- # Create a dict of dicts with keys benchmark, goal
54
- results = {}
55
- for i, metric in enumerate(model_metrics[1:]):
56
- benchmark = benchmarks_row[i]
57
- goal = goals_row[i]
58
-
59
- if benchmark not in results:
60
- results[benchmark] = {}
61
-
62
- results[benchmark][goal] = metric
63
-
64
- # Aggregate metrics
65
- agg_csv_row = []
66
- # ['Model','Agg S2R','Agg MC','Agg VerilogEval S2R','Agg VerilogEval MC','Agg RTLLM','Agg VeriGen']
67
- for col in first_row_agg_csv:
68
- if col == "Model":
69
- agg_csv_row.append(model)
70
- elif col == "Agg S2R":
71
- agg_csv_row.append(
72
- agg_S2R_metrics(
73
- avg_ppa(results["VerilogEval S2R"]), avg_ppa(results["RTLLM"])
74
- )
75
- )
76
- elif col == "Agg MC":
77
- agg_csv_row.append(
78
- agg_S2R_metrics(
79
- avg_ppa(results["VerilogEval MC"]), avg_ppa(results["VeriGen"])
80
- )
81
- )
82
- elif col == "Agg VerilogEval S2R":
83
- agg_csv_row.append(avg_ppa(results["VerilogEval S2R"]))
84
- elif col == "Agg VerilogEval MC":
85
- agg_csv_row.append(avg_ppa(results["VerilogEval MC"]))
86
- elif col == "Agg RTLLM":
87
- agg_csv_row.append(avg_ppa(results["RTLLM"]))
88
- elif col == "Agg VeriGen":
89
- agg_csv_row.append(avg_ppa(results["VeriGen"]))
90
-
91
- agg_csv.append(agg_csv_row)
92
-
93
- with open(AGG_CSV, "w", newline="") as csvfile:
94
- writer = csv.writer(csvfile)
95
- writer.writerows(agg_csv)
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  import csv
2
+ import os
3
+ import sys
4
 
5
 
6
  def agg_S2R_metrics(verilog_eval_rtl, rtllm):
 
28
  return round(result, 2)
29
 
30
 
31
+ if __name__ == "__main__":
32
+ if len(sys.argv) < 2:
33
+ print(f"Usage: python {sys.argv[0]} <path_to_input_csv>")
34
+ sys.exit(1)
35
+
36
+ input_csv_path = sys.argv[1]
37
+
38
+ if not os.path.exists(input_csv_path):
39
+ print(f"Error: File not found at {input_csv_path}")
40
+ sys.exit(1)
41
+
42
+ dir_name = os.path.dirname(input_csv_path)
43
+ base_name = os.path.basename(input_csv_path)
44
+ output_base_name = base_name.replace("results", "aggregated_scores")
45
+ output_csv_path = os.path.join(dir_name, output_base_name)
46
+
47
+ print(f"Processing {input_csv_path}...")
48
+
49
+ agg_csv_data = []
50
+ header = [
51
+ "Model",
52
+ "Agg S2R",
53
+ "Agg MC",
54
+ "Agg VerilogEval S2R",
55
+ "Agg VerilogEval MC",
56
+ "Agg RTLLM",
57
+ "Agg VeriGen",
58
+ ]
59
+ agg_csv_data.append(header)
60
+
61
+ with open(input_csv_path, newline="", encoding="utf-8") as csvfile:
62
+ reader = csv.reader(csvfile)
63
+ goals_row = next(reader)[1:] # Skip the first column (model name)
64
+ benchmarks_row = next(reader)[1:]
65
+
66
+ for model_metrics in reader:
67
+ if not model_metrics or not model_metrics[0].strip():
68
+ continue # Skip empty lines
69
+
70
+ model = model_metrics[0]
71
+ # Create a dict of dicts with keys benchmark, goal
72
+ results = {}
73
+ for i, metric in enumerate(model_metrics[1:]):
74
+ benchmark = benchmarks_row[i]
75
+ goal = goals_row[i]
76
+
77
+ if benchmark not in results:
78
+ results[benchmark] = {}
79
+
80
+ results[benchmark][goal] = metric
81
+
82
+ # Agg metrics
83
+ agg_csv_row = [model]
84
+ agg_verilog_eval_s2r = avg_ppa(results.get("VerilogEval S2R", {}))
85
+ agg_rtllm = avg_ppa(results.get("RTLLM", {}))
86
+ agg_s2r = agg_S2R_metrics(agg_verilog_eval_s2r, agg_rtllm)
87
+
88
+ agg_verilog_eval_mc = avg_ppa(results.get("VerilogEval MC", {}))
89
+ agg_verigen = avg_ppa(results.get("VeriGen", {}))
90
+ agg_mc = agg_MC_metrics(agg_verilog_eval_mc, agg_verigen)
91
+
92
+ # Append all calculated values in the correct order
93
+ agg_csv_row.extend(
94
+ [
95
+ agg_s2r,
96
+ agg_mc,
97
+ agg_verilog_eval_s2r,
98
+ agg_verilog_eval_mc,
99
+ agg_rtllm,
100
+ agg_verigen,
101
+ ]
102
+ )
103
+ agg_csv_data.append(agg_csv_row)
104
+
105
+ with open(output_csv_path, "w", newline="", encoding="utf-8") as csvfile:
106
+ writer = csv.writer(csvfile)
107
+ writer.writerows(agg_csv_data)
108
+
109
+ print(f"Done")
results/parse.py CHANGED
@@ -2,6 +2,7 @@ import csv
2
  import json
3
  import locale
4
  import os
 
5
  from typing import Dict, Union
6
 
7
  import pandas as pd
@@ -160,6 +161,18 @@ model_details = {
160
  "V1",
161
  ),
162
  "OriGen": ("https://huggingface.co/henryen/OriGen", 6.74, "RTL-Specific", "V1"),
 
 
 
 
 
 
 
 
 
 
 
 
163
  }
164
 
165
 
@@ -178,7 +191,7 @@ def get_headers(reader, agg=False) -> Union[list, list]:
178
 
179
  def get_model_params_and_url(model) -> Union[str, str, float, str]:
180
  if model not in model_details:
181
- return "-", "-", "-"
182
  url = model_details[model][0]
183
  params = model_details[model][1]
184
  type = model_details[model][2]
@@ -193,12 +206,15 @@ def parse_results(csv_path: str) -> list[dict]:
193
  """
194
  dataset = []
195
  models = []
196
- with open(os.path.join("results", csv_path), newline="") as csvfile:
197
  reader = csv.reader(csvfile, delimiter=",")
198
  metrics, benchs = get_headers(reader)
199
  for i, row in enumerate(reader):
 
 
200
  model = row[0]
201
- print(model)
 
202
  url, params, type, release = get_model_params_and_url(model)
203
  models.append(model)
204
  row = row[1:]
@@ -229,8 +245,8 @@ def parse_agg(csv_path: str = "results/aggregated_scores_icarus.csv") -> pd.Data
229
  return pd.read_csv(csv_path)
230
 
231
 
232
- def writeJson(data: list):
233
- with open("results/results.json", "w") as f:
234
  json.dump(data, f, indent=4, ensure_ascii=False)
235
  print("Done")
236
 
@@ -266,6 +282,18 @@ def read_data(
266
 
267
 
268
  if __name__ == "__main__":
269
- csv_path = "./results.csv"
270
- d = parse_results(csv_path)
271
- writeJson(d)
 
 
 
 
 
 
 
 
 
 
 
 
 
2
  import json
3
  import locale
4
  import os
5
+ import sys
6
  from typing import Dict, Union
7
 
8
  import pandas as pd
 
161
  "V1",
162
  ),
163
  "OriGen": ("https://huggingface.co/henryen/OriGen", 6.74, "RTL-Specific", "V1"),
164
+ "Qwen3 Coder 480B A35B": (
165
+ "https://huggingface.co/Qwen/Qwen3-Coder-480B-A35B-Instruct",
166
+ 480,
167
+ "Coding",
168
+ "V1",
169
+ ),
170
+ "Magistral Small 2506": (
171
+ "https://huggingface.co/mistralai/Magistral-Small-2506",
172
+ 23.6,
173
+ "General",
174
+ "V1",
175
+ ),
176
  }
177
 
178
 
 
191
 
192
  def get_model_params_and_url(model) -> Union[str, str, float, str]:
193
  if model not in model_details:
194
+ return "-", 0.0, "Unknown", "Unknown"
195
  url = model_details[model][0]
196
  params = model_details[model][1]
197
  type = model_details[model][2]
 
206
  """
207
  dataset = []
208
  models = []
209
+ with open(csv_path, newline="") as csvfile:
210
  reader = csv.reader(csvfile, delimiter=",")
211
  metrics, benchs = get_headers(reader)
212
  for i, row in enumerate(reader):
213
+ if not row or all(not cell.strip() for cell in row):
214
+ continue
215
  model = row[0]
216
+ if not model:
217
+ continue
218
  url, params, type, release = get_model_params_and_url(model)
219
  models.append(model)
220
  row = row[1:]
 
245
  return pd.read_csv(csv_path)
246
 
247
 
248
+ def writeJson(data: list, path: str):
249
+ with open(path, "w") as f:
250
  json.dump(data, f, indent=4, ensure_ascii=False)
251
  print("Done")
252
 
 
282
 
283
 
284
  if __name__ == "__main__":
285
+ if len(sys.argv) < 2:
286
+ print("Usage: python results/parse.py <path_to_input_csv>")
287
+ sys.exit(1)
288
+
289
+ csv_path = sys.argv[1]
290
+
291
+ if not os.path.exists(csv_path):
292
+ print(f"Error: File not found at {csv_path}")
293
+ sys.exit(1)
294
+
295
+ json_path = os.path.splitext(csv_path)[0] + ".json"
296
+
297
+ print(f"Parsing {csv_path}...")
298
+ parsed_data = parse_results(csv_path)
299
+ writeJson(parsed_data, json_path)
results/results_icarus.json CHANGED
@@ -499,6 +499,256 @@
499
  "Params": 685,
500
  "Release": "V1"
501
  },
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
502
  {
503
  "Model": "Llama 3.1 405B",
504
  "Model Type": "General",
@@ -1999,6 +2249,256 @@
1999
  "Params": 32.5,
2000
  "Release": "V1"
2001
  },
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
2002
  {
2003
  "Model": "StarChat2 15B v0.1",
2004
  "Model Type": "General",
@@ -6999,4 +7499,4 @@
6999
  "Params": 6.74,
7000
  "Release": "V1"
7001
  }
7002
- ]
 
499
  "Params": 685,
500
  "Release": "V1"
501
  },
502
+ {
503
+ "Model": "Qwen3 Coder 480B A35B",
504
+ "Model Type": "Coding",
505
+ "Benchmark": "VerilogEval S2R",
506
+ "Task": "Syntax (STX)",
507
+ "Result": 96.41,
508
+ "Model URL": "https://huggingface.co/Qwen/Qwen3-Coder-480B-A35B-Instruct",
509
+ "Params": 480,
510
+ "Release": "V1"
511
+ },
512
+ {
513
+ "Model": "Qwen3 Coder 480B A35B",
514
+ "Model Type": "Coding",
515
+ "Benchmark": "RTLLM",
516
+ "Task": "Syntax (STX)",
517
+ "Result": 86.38,
518
+ "Model URL": "https://huggingface.co/Qwen/Qwen3-Coder-480B-A35B-Instruct",
519
+ "Params": 480,
520
+ "Release": "V1"
521
+ },
522
+ {
523
+ "Model": "Qwen3 Coder 480B A35B",
524
+ "Model Type": "Coding",
525
+ "Benchmark": "VerilogEval S2R",
526
+ "Task": "Functionality (FNC)",
527
+ "Result": 65.38,
528
+ "Model URL": "https://huggingface.co/Qwen/Qwen3-Coder-480B-A35B-Instruct",
529
+ "Params": 480,
530
+ "Release": "V1"
531
+ },
532
+ {
533
+ "Model": "Qwen3 Coder 480B A35B",
534
+ "Model Type": "Coding",
535
+ "Benchmark": "RTLLM",
536
+ "Task": "Functionality (FNC)",
537
+ "Result": 59.57,
538
+ "Model URL": "https://huggingface.co/Qwen/Qwen3-Coder-480B-A35B-Instruct",
539
+ "Params": 480,
540
+ "Release": "V1"
541
+ },
542
+ {
543
+ "Model": "Qwen3 Coder 480B A35B",
544
+ "Model Type": "Coding",
545
+ "Benchmark": "VerilogEval S2R",
546
+ "Task": "Synthesis (SYN)",
547
+ "Result": 64.74,
548
+ "Model URL": "https://huggingface.co/Qwen/Qwen3-Coder-480B-A35B-Instruct",
549
+ "Params": 480,
550
+ "Release": "V1"
551
+ },
552
+ {
553
+ "Model": "Qwen3 Coder 480B A35B",
554
+ "Model Type": "Coding",
555
+ "Benchmark": "RTLLM",
556
+ "Task": "Synthesis (SYN)",
557
+ "Result": 53.62,
558
+ "Model URL": "https://huggingface.co/Qwen/Qwen3-Coder-480B-A35B-Instruct",
559
+ "Params": 480,
560
+ "Release": "V1"
561
+ },
562
+ {
563
+ "Model": "Qwen3 Coder 480B A35B",
564
+ "Model Type": "Coding",
565
+ "Benchmark": "VerilogEval S2R",
566
+ "Task": "Power",
567
+ "Result": 64.09,
568
+ "Model URL": "https://huggingface.co/Qwen/Qwen3-Coder-480B-A35B-Instruct",
569
+ "Params": 480,
570
+ "Release": "V1"
571
+ },
572
+ {
573
+ "Model": "Qwen3 Coder 480B A35B",
574
+ "Model Type": "Coding",
575
+ "Benchmark": "RTLLM",
576
+ "Task": "Power",
577
+ "Result": 52.85,
578
+ "Model URL": "https://huggingface.co/Qwen/Qwen3-Coder-480B-A35B-Instruct",
579
+ "Params": 480,
580
+ "Release": "V1"
581
+ },
582
+ {
583
+ "Model": "Qwen3 Coder 480B A35B",
584
+ "Model Type": "Coding",
585
+ "Benchmark": "VerilogEval S2R",
586
+ "Task": "Performance",
587
+ "Result": 61.91,
588
+ "Model URL": "https://huggingface.co/Qwen/Qwen3-Coder-480B-A35B-Instruct",
589
+ "Params": 480,
590
+ "Release": "V1"
591
+ },
592
+ {
593
+ "Model": "Qwen3 Coder 480B A35B",
594
+ "Model Type": "Coding",
595
+ "Benchmark": "RTLLM",
596
+ "Task": "Performance",
597
+ "Result": 53.03,
598
+ "Model URL": "https://huggingface.co/Qwen/Qwen3-Coder-480B-A35B-Instruct",
599
+ "Params": 480,
600
+ "Release": "V1"
601
+ },
602
+ {
603
+ "Model": "Qwen3 Coder 480B A35B",
604
+ "Model Type": "Coding",
605
+ "Benchmark": "VerilogEval S2R",
606
+ "Task": "Area",
607
+ "Result": 62.93,
608
+ "Model URL": "https://huggingface.co/Qwen/Qwen3-Coder-480B-A35B-Instruct",
609
+ "Params": 480,
610
+ "Release": "V1"
611
+ },
612
+ {
613
+ "Model": "Qwen3 Coder 480B A35B",
614
+ "Model Type": "Coding",
615
+ "Benchmark": "RTLLM",
616
+ "Task": "Area",
617
+ "Result": 51.81,
618
+ "Model URL": "https://huggingface.co/Qwen/Qwen3-Coder-480B-A35B-Instruct",
619
+ "Params": 480,
620
+ "Release": "V1"
621
+ },
622
+ {
623
+ "Model": "Qwen3 Coder 480B A35B",
624
+ "Model Type": "Coding",
625
+ "Benchmark": "RTL-Repo",
626
+ "Task": "Exact Matching (EM)",
627
+ "Result": 38.88,
628
+ "Model URL": "https://huggingface.co/Qwen/Qwen3-Coder-480B-A35B-Instruct",
629
+ "Params": 480,
630
+ "Release": "V1"
631
+ },
632
+ {
633
+ "Model": "Qwen3 Coder 480B A35B",
634
+ "Model Type": "Coding",
635
+ "Benchmark": "VerilogEval MC",
636
+ "Task": "Syntax (STX)",
637
+ "Result": 84.1,
638
+ "Model URL": "https://huggingface.co/Qwen/Qwen3-Coder-480B-A35B-Instruct",
639
+ "Params": 480,
640
+ "Release": "V1"
641
+ },
642
+ {
643
+ "Model": "Qwen3 Coder 480B A35B",
644
+ "Model Type": "Coding",
645
+ "Benchmark": "VeriGen",
646
+ "Task": "Syntax (STX)",
647
+ "Result": 100.0,
648
+ "Model URL": "https://huggingface.co/Qwen/Qwen3-Coder-480B-A35B-Instruct",
649
+ "Params": 480,
650
+ "Release": "V1"
651
+ },
652
+ {
653
+ "Model": "Qwen3 Coder 480B A35B",
654
+ "Model Type": "Coding",
655
+ "Benchmark": "VerilogEval MC",
656
+ "Task": "Functionality (FNC)",
657
+ "Result": 58.85,
658
+ "Model URL": "https://huggingface.co/Qwen/Qwen3-Coder-480B-A35B-Instruct",
659
+ "Params": 480,
660
+ "Release": "V1"
661
+ },
662
+ {
663
+ "Model": "Qwen3 Coder 480B A35B",
664
+ "Model Type": "Coding",
665
+ "Benchmark": "VeriGen",
666
+ "Task": "Functionality (FNC)",
667
+ "Result": 75.29,
668
+ "Model URL": "https://huggingface.co/Qwen/Qwen3-Coder-480B-A35B-Instruct",
669
+ "Params": 480,
670
+ "Release": "V1"
671
+ },
672
+ {
673
+ "Model": "Qwen3 Coder 480B A35B",
674
+ "Model Type": "Coding",
675
+ "Benchmark": "VerilogEval MC",
676
+ "Task": "Synthesis (SYN)",
677
+ "Result": 58.46,
678
+ "Model URL": "https://huggingface.co/Qwen/Qwen3-Coder-480B-A35B-Instruct",
679
+ "Params": 480,
680
+ "Release": "V1"
681
+ },
682
+ {
683
+ "Model": "Qwen3 Coder 480B A35B",
684
+ "Model Type": "Coding",
685
+ "Benchmark": "VeriGen",
686
+ "Task": "Synthesis (SYN)",
687
+ "Result": 75.29,
688
+ "Model URL": "https://huggingface.co/Qwen/Qwen3-Coder-480B-A35B-Instruct",
689
+ "Params": 480,
690
+ "Release": "V1"
691
+ },
692
+ {
693
+ "Model": "Qwen3 Coder 480B A35B",
694
+ "Model Type": "Coding",
695
+ "Benchmark": "VerilogEval MC",
696
+ "Task": "Power",
697
+ "Result": 57.05,
698
+ "Model URL": "https://huggingface.co/Qwen/Qwen3-Coder-480B-A35B-Instruct",
699
+ "Params": 480,
700
+ "Release": "V1"
701
+ },
702
+ {
703
+ "Model": "Qwen3 Coder 480B A35B",
704
+ "Model Type": "Coding",
705
+ "Benchmark": "VeriGen",
706
+ "Task": "Power",
707
+ "Result": 69.63,
708
+ "Model URL": "https://huggingface.co/Qwen/Qwen3-Coder-480B-A35B-Instruct",
709
+ "Params": 480,
710
+ "Release": "V1"
711
+ },
712
+ {
713
+ "Model": "Qwen3 Coder 480B A35B",
714
+ "Model Type": "Coding",
715
+ "Benchmark": "VerilogEval MC",
716
+ "Task": "Performance",
717
+ "Result": 55.54,
718
+ "Model URL": "https://huggingface.co/Qwen/Qwen3-Coder-480B-A35B-Instruct",
719
+ "Params": 480,
720
+ "Release": "V1"
721
+ },
722
+ {
723
+ "Model": "Qwen3 Coder 480B A35B",
724
+ "Model Type": "Coding",
725
+ "Benchmark": "VeriGen",
726
+ "Task": "Performance",
727
+ "Result": 73.95,
728
+ "Model URL": "https://huggingface.co/Qwen/Qwen3-Coder-480B-A35B-Instruct",
729
+ "Params": 480,
730
+ "Release": "V1"
731
+ },
732
+ {
733
+ "Model": "Qwen3 Coder 480B A35B",
734
+ "Model Type": "Coding",
735
+ "Benchmark": "VerilogEval MC",
736
+ "Task": "Area",
737
+ "Result": 55.79,
738
+ "Model URL": "https://huggingface.co/Qwen/Qwen3-Coder-480B-A35B-Instruct",
739
+ "Params": 480,
740
+ "Release": "V1"
741
+ },
742
+ {
743
+ "Model": "Qwen3 Coder 480B A35B",
744
+ "Model Type": "Coding",
745
+ "Benchmark": "VeriGen",
746
+ "Task": "Area",
747
+ "Result": 76.76,
748
+ "Model URL": "https://huggingface.co/Qwen/Qwen3-Coder-480B-A35B-Instruct",
749
+ "Params": 480,
750
+ "Release": "V1"
751
+ },
752
  {
753
  "Model": "Llama 3.1 405B",
754
  "Model Type": "General",
 
2249
  "Params": 32.5,
2250
  "Release": "V1"
2251
  },
2252
+ {
2253
+ "Model": "Magistral Small 2506",
2254
+ "Model Type": "General",
2255
+ "Benchmark": "VerilogEval S2R",
2256
+ "Task": "Syntax (STX)",
2257
+ "Result": 63.85,
2258
+ "Model URL": "https://huggingface.co/mistralai/Magistral-Small-2506",
2259
+ "Params": 23.6,
2260
+ "Release": "V2"
2261
+ },
2262
+ {
2263
+ "Model": "Magistral Small 2506",
2264
+ "Model Type": "General",
2265
+ "Benchmark": "RTLLM",
2266
+ "Task": "Syntax (STX)",
2267
+ "Result": 71.91,
2268
+ "Model URL": "https://huggingface.co/mistralai/Magistral-Small-2506",
2269
+ "Params": 23.6,
2270
+ "Release": "V2"
2271
+ },
2272
+ {
2273
+ "Model": "Magistral Small 2506",
2274
+ "Model Type": "General",
2275
+ "Benchmark": "VerilogEval S2R",
2276
+ "Task": "Functionality (FNC)",
2277
+ "Result": 42.95,
2278
+ "Model URL": "https://huggingface.co/mistralai/Magistral-Small-2506",
2279
+ "Params": 23.6,
2280
+ "Release": "V1"
2281
+ },
2282
+ {
2283
+ "Model": "Magistral Small 2506",
2284
+ "Model Type": "General",
2285
+ "Benchmark": "RTLLM",
2286
+ "Task": "Functionality (FNC)",
2287
+ "Result": 43.4,
2288
+ "Model URL": "https://huggingface.co/mistralai/Magistral-Small-2506",
2289
+ "Params": 23.6,
2290
+ "Release": "V1"
2291
+ },
2292
+ {
2293
+ "Model": "Magistral Small 2506",
2294
+ "Model Type": "General",
2295
+ "Benchmark": "VerilogEval S2R",
2296
+ "Task": "Synthesis (SYN)",
2297
+ "Result": 42.44,
2298
+ "Model URL": "https://huggingface.co/mistralai/Magistral-Small-2506",
2299
+ "Params": 23.6,
2300
+ "Release": "V1"
2301
+ },
2302
+ {
2303
+ "Model": "Magistral Small 2506",
2304
+ "Model Type": "General",
2305
+ "Benchmark": "RTLLM",
2306
+ "Task": "Synthesis (SYN)",
2307
+ "Result": 37.45,
2308
+ "Model URL": "https://huggingface.co/mistralai/Magistral-Small-2506",
2309
+ "Params": 23.6,
2310
+ "Release": "V1"
2311
+ },
2312
+ {
2313
+ "Model": "Magistral Small 2506",
2314
+ "Model Type": "General",
2315
+ "Benchmark": "VerilogEval S2R",
2316
+ "Task": "Power",
2317
+ "Result": 41.39,
2318
+ "Model URL": "https://huggingface.co/mistralai/Magistral-Small-2506",
2319
+ "Params": 23.6,
2320
+ "Release": "V1"
2321
+ },
2322
+ {
2323
+ "Model": "Magistral Small 2506",
2324
+ "Model Type": "General",
2325
+ "Benchmark": "RTLLM",
2326
+ "Task": "Power",
2327
+ "Result": 43.36,
2328
+ "Model URL": "https://huggingface.co/mistralai/Magistral-Small-2506",
2329
+ "Params": 23.6,
2330
+ "Release": "V1"
2331
+ },
2332
+ {
2333
+ "Model": "Magistral Small 2506",
2334
+ "Model Type": "General",
2335
+ "Benchmark": "VerilogEval S2R",
2336
+ "Task": "Performance",
2337
+ "Result": 40.09,
2338
+ "Model URL": "https://huggingface.co/mistralai/Magistral-Small-2506",
2339
+ "Params": 23.6,
2340
+ "Release": "V1"
2341
+ },
2342
+ {
2343
+ "Model": "Magistral Small 2506",
2344
+ "Model Type": "General",
2345
+ "Benchmark": "RTLLM",
2346
+ "Task": "Performance",
2347
+ "Result": 37.44,
2348
+ "Model URL": "https://huggingface.co/mistralai/Magistral-Small-2506",
2349
+ "Params": 23.6,
2350
+ "Release": "V1"
2351
+ },
2352
+ {
2353
+ "Model": "Magistral Small 2506",
2354
+ "Model Type": "General",
2355
+ "Benchmark": "VerilogEval S2R",
2356
+ "Task": "Area",
2357
+ "Result": 41.39,
2358
+ "Model URL": "https://huggingface.co/mistralai/Magistral-Small-2506",
2359
+ "Params": 23.6,
2360
+ "Release": "V1"
2361
+ },
2362
+ {
2363
+ "Model": "Magistral Small 2506",
2364
+ "Model Type": "General",
2365
+ "Benchmark": "RTLLM",
2366
+ "Task": "Area",
2367
+ "Result": 40.32,
2368
+ "Model URL": "https://huggingface.co/mistralai/Magistral-Small-2506",
2369
+ "Params": 23.6,
2370
+ "Release": "V1"
2371
+ },
2372
+ {
2373
+ "Model": "Magistral Small 2506",
2374
+ "Model Type": "General",
2375
+ "Benchmark": "RTL-Repo",
2376
+ "Task": "Exact Matching (EM)",
2377
+ "Result": -1.0,
2378
+ "Model URL": "https://huggingface.co/mistralai/Magistral-Small-2506",
2379
+ "Params": 23.6,
2380
+ "Release": "V1"
2381
+ },
2382
+ {
2383
+ "Model": "Magistral Small 2506",
2384
+ "Model Type": "General",
2385
+ "Benchmark": "VerilogEval MC",
2386
+ "Task": "Syntax (STX)",
2387
+ "Result": 31.28,
2388
+ "Model URL": "https://huggingface.co/mistralai/Magistral-Small-2506",
2389
+ "Params": 23.6,
2390
+ "Release": "V1"
2391
+ },
2392
+ {
2393
+ "Model": "Magistral Small 2506",
2394
+ "Model Type": "General",
2395
+ "Benchmark": "VeriGen",
2396
+ "Task": "Syntax (STX)",
2397
+ "Result": 68.24,
2398
+ "Model URL": "https://huggingface.co/mistralai/Magistral-Small-2506",
2399
+ "Params": 23.6,
2400
+ "Release": "V1"
2401
+ },
2402
+ {
2403
+ "Model": "Magistral Small 2506",
2404
+ "Model Type": "General",
2405
+ "Benchmark": "VerilogEval MC",
2406
+ "Task": "Functionality (FNC)",
2407
+ "Result": 20.9,
2408
+ "Model URL": "https://huggingface.co/mistralai/Magistral-Small-2506",
2409
+ "Params": 23.6,
2410
+ "Release": "V1"
2411
+ },
2412
+ {
2413
+ "Model": "Magistral Small 2506",
2414
+ "Model Type": "General",
2415
+ "Benchmark": "VeriGen",
2416
+ "Task": "Functionality (FNC)",
2417
+ "Result": 50.59,
2418
+ "Model URL": "https://huggingface.co/mistralai/Magistral-Small-2506",
2419
+ "Params": 23.6,
2420
+ "Release": "V1"
2421
+ },
2422
+ {
2423
+ "Model": "Magistral Small 2506",
2424
+ "Model Type": "General",
2425
+ "Benchmark": "VerilogEval MC",
2426
+ "Task": "Synthesis (SYN)",
2427
+ "Result": 20.77,
2428
+ "Model URL": "https://huggingface.co/mistralai/Magistral-Small-2506",
2429
+ "Params": 23.6,
2430
+ "Release": "V1"
2431
+ },
2432
+ {
2433
+ "Model": "Magistral Small 2506",
2434
+ "Model Type": "General",
2435
+ "Benchmark": "VeriGen",
2436
+ "Task": "Synthesis (SYN)",
2437
+ "Result": 49.41,
2438
+ "Model URL": "https://huggingface.co/mistralai/Magistral-Small-2506",
2439
+ "Params": 23.6,
2440
+ "Release": "V1"
2441
+ },
2442
+ {
2443
+ "Model": "Magistral Small 2506",
2444
+ "Model Type": "General",
2445
+ "Benchmark": "VerilogEval MC",
2446
+ "Task": "Power",
2447
+ "Result": 20.11,
2448
+ "Model URL": "https://huggingface.co/mistralai/Magistral-Small-2506",
2449
+ "Params": 23.6,
2450
+ "Release": "V1"
2451
+ },
2452
+ {
2453
+ "Model": "Magistral Small 2506",
2454
+ "Model Type": "General",
2455
+ "Benchmark": "VeriGen",
2456
+ "Task": "Power",
2457
+ "Result": 41.59,
2458
+ "Model URL": "https://huggingface.co/mistralai/Magistral-Small-2506",
2459
+ "Params": 23.6,
2460
+ "Release": "V1"
2461
+ },
2462
+ {
2463
+ "Model": "Magistral Small 2506",
2464
+ "Model Type": "General",
2465
+ "Benchmark": "VerilogEval MC",
2466
+ "Task": "Performance",
2467
+ "Result": 19.61,
2468
+ "Model URL": "https://huggingface.co/mistralai/Magistral-Small-2506",
2469
+ "Params": 23.6,
2470
+ "Release": "V1"
2471
+ },
2472
+ {
2473
+ "Model": "Magistral Small 2506",
2474
+ "Model Type": "General",
2475
+ "Benchmark": "VeriGen",
2476
+ "Task": "Performance",
2477
+ "Result": 48.97,
2478
+ "Model URL": "https://huggingface.co/mistralai/Magistral-Small-2506",
2479
+ "Params": 23.6,
2480
+ "Release": "V1"
2481
+ },
2482
+ {
2483
+ "Model": "Magistral Small 2506",
2484
+ "Model Type": "General",
2485
+ "Benchmark": "VerilogEval MC",
2486
+ "Task": "Area",
2487
+ "Result": 20.16,
2488
+ "Model URL": "https://huggingface.co/mistralai/Magistral-Small-2506",
2489
+ "Params": 23.6,
2490
+ "Release": "V1"
2491
+ },
2492
+ {
2493
+ "Model": "Magistral Small 2506",
2494
+ "Model Type": "General",
2495
+ "Benchmark": "VeriGen",
2496
+ "Task": "Area",
2497
+ "Result": 50.07,
2498
+ "Model URL": "https://huggingface.co/mistralai/Magistral-Small-2506",
2499
+ "Params": 23.6,
2500
+ "Release": "V1"
2501
+ },
2502
  {
2503
  "Model": "StarChat2 15B v0.1",
2504
  "Model Type": "General",
 
7499
  "Params": 6.74,
7500
  "Release": "V1"
7501
  }
7502
+ ]
results/results_v3_mlcad_icarus.csv ADDED
@@ -0,0 +1,63 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ,Syntax (STX),Syntax (STX),Functionality (FNC),Functionality (FNC),Synthesis (SYN),Synthesis (SYN),Power,Power,Performance,Performance,Area,Area,EM,Syntax (STX),Syntax (STX),Functionality (FNC),Functionality (FNC),Synthesis (SYN),Synthesis (SYN),Power,Power,Performance,Performance,Area,Area
2
+ ,VerilogEval S2R,RTLLM,VerilogEval S2R,RTLLM,VerilogEval S2R,RTLLM,VerilogEval S2R,RTLLM,VerilogEval S2R,RTLLM,VerilogEval S2R,RTLLM,RTL-Repo,VerilogEval MC,VeriGen,VerilogEval MC,VeriGen,VerilogEval MC,VeriGen,VerilogEval MC,VeriGen,VerilogEval MC,VeriGen,VerilogEval MC,VeriGen
3
+ DeepSeek R1-0528,96.150000000000006,86.120000000000005,81.540000000000006,64.900000000000006,81.280000000000001,64.489999999999995,79.150000000000006,73.329999999999998,78.090000000000003,65.640000000000001,79.280000000000001,71.150000000000006,-1,95.379999999999995,91.760000000000005,81.540000000000006,74.120000000000005,81.409999999999997,74.120000000000005,80.269999999999996,63.859999999999999,78.689999999999998,74.049999999999997,79.989999999999995,77.010000000000005
4
+ DeepSeek R1,97.180000000000007,89.799999999999997,79.739999999999995,65.709999999999994,79.620000000000005,63.270000000000003,78.329999999999998,71.340000000000003,76.489999999999995,64.060000000000002,78.189999999999998,70.079999999999998,-1,97.439999999999998,96.469999999999999,79.489999999999995,74.120000000000005,79.489999999999995,74.120000000000005,78.269999999999996,64.340000000000003,76.430000000000007,74.290000000000006,77.959999999999994,77.120000000000005
5
+ Qwen3 Coder 480B A35B,96.409999999999997,86.379999999999995,65.379999999999995,59.57,64.739999999999995,53.619999999999997,64.090000000000003,52.850000000000001,61.909999999999997,53.030000000000001,62.93,51.810000000000002,38.880000000000003,84.099999999999994,100,58.850000000000001,75.290000000000006,58.460000000000001,75.290000000000006,57.049999999999997,69.629999999999995,55.539999999999999,73.950000000000003,55.789999999999999,76.760000000000005
6
+ Llama 3.1 405B,87.439999999999998,77.140000000000001,58.969999999999999,45.710000000000001,58.850000000000001,41.630000000000003,57.579999999999998,50.880000000000003,55.93,32.439999999999998,56.130000000000003,43.450000000000003,34.619999999999997,88.590000000000003,95.290000000000006,56.149999999999999,58.82,55.899999999999999,58.82,55.130000000000003,55.100000000000001,53.450000000000003,58.399999999999999,54.479999999999997,61.200000000000003
7
+ Qwen3 236B A22B,91.280000000000001,73.879999999999995,76.920000000000002,51.43,76.790000000000006,48.57,75.25,54.609999999999999,73.560000000000002,46.369999999999997,75.670000000000002,50.469999999999999,41.939999999999998,82.180000000000007,87.060000000000002,69.620000000000005,62.350000000000001,69.620000000000005,62.350000000000001,69.040000000000006,54.630000000000003,66.890000000000001,62.630000000000003,69.150000000000006,62.780000000000001
8
+ Qwen2.5 72B,82.180000000000007,79.590000000000003,52.439999999999998,45.310000000000002,51.920000000000002,44.079999999999998,51.829999999999998,46.469999999999999,48.75,45.399999999999999,50.090000000000003,47.649999999999999,37.439999999999998,80.900000000000006,84.709999999999994,52.950000000000003,47.060000000000002,52.689999999999998,47.060000000000002,51.659999999999997,47.590000000000003,49.369999999999997,46.960000000000001,51.18,47.700000000000003
9
+ Llama 3.(1-3) 70B,66.150000000000006,73.879999999999995,40.640000000000001,42.450000000000003,40.640000000000001,39.18,40.460000000000001,40.810000000000002,38.079999999999998,38.140000000000001,39.859999999999999,39.649999999999999,28.719999999999999,84.739999999999995,89.409999999999997,41.670000000000002,65.879999999999995,41.670000000000002,64.709999999999994,41.380000000000003,63.469999999999999,39.75,64.689999999999998,41.359999999999999,64.709999999999994
10
+ QwQ 32B,87.950000000000003,82.450000000000003,66.409999999999997,56.729999999999997,66.409999999999997,52.240000000000002,66.150000000000006,55.829999999999998,63.799999999999997,51.909999999999997,65.120000000000005,56.07,-1,58.969999999999999,68.239999999999995,40,52.939999999999998,39.619999999999997,52.939999999999998,39.399999999999999,51.469999999999999,37.530000000000001,52.93,39.100000000000001,53.390000000000001
11
+ Qwen2.5 32B,88.590000000000003,84.079999999999998,52.560000000000002,50.200000000000003,52.18,46.119999999999997,52.32,49.729999999999997,49.43,46.43,50.82,50.43,28.93,93.209999999999994,85.879999999999995,41.539999999999999,45.880000000000003,41.539999999999999,45.880000000000003,41.310000000000002,43.560000000000002,40.479999999999997,46.079999999999998,41.229999999999997,45.369999999999997
12
+ Magistral Small 2506,63.850000000000001,71.909999999999997,42.950000000000003,43.399999999999999,42.439999999999998,37.450000000000003,41.390000000000001,43.359999999999999,40.090000000000003,37.439999999999998,41.390000000000001,40.32,-1,31.280000000000001,68.239999999999995,20.899999999999999,50.590000000000003,20.77,49.409999999999997,20.109999999999999,41.590000000000003,19.609999999999999,48.969999999999999,20.16,50.07
13
+ StarChat2 15B v0.1,88.459999999999994,84.900000000000006,37.950000000000003,44.490000000000002,37.950000000000003,44.079999999999998,37.560000000000002,46.950000000000003,35.299999999999997,43.219999999999999,37.189999999999998,46.649999999999999,13.42,79.739999999999995,92.939999999999998,36.409999999999997,63.530000000000001,36.030000000000001,63.530000000000001,36.079999999999998,58.060000000000002,34.909999999999997,63.259999999999998,35.759999999999998,64.560000000000002
14
+ DeepSeek R1 Distill Qwen 14B,42.18,34.689999999999998,25.510000000000002,18.370000000000001,25.510000000000002,16.329999999999998,25.359999999999999,17.859999999999999,24.190000000000001,16.48,25.27,17.329999999999998,-1,45,44.710000000000001,25.640000000000001,28.239999999999998,25.260000000000002,28.239999999999998,24.789999999999999,24.710000000000001,23.48,28.140000000000001,24.629999999999999,28.350000000000001
15
+ CodeLlama 70B,67.049999999999997,69.799999999999997,33.079999999999998,36.329999999999998,33.079999999999998,34.289999999999999,32.689999999999998,37.189999999999998,31.460000000000001,34.289999999999999,32.439999999999998,35.950000000000003,24.329999999999998,90.769999999999996,88.239999999999995,33.329999999999998,47.060000000000002,33.329999999999998,47.060000000000002,33.020000000000003,45.799999999999997,30.800000000000001,46.909999999999997,32.990000000000002,46.979999999999997
16
+ DeepSeek Coder 33B,62.82,83.670000000000002,23.329999999999998,42.450000000000003,23.079999999999998,42.039999999999999,22.859999999999999,42.289999999999999,22.809999999999999,39.420000000000002,22.289999999999999,42.710000000000001,24.579999999999998,75.260000000000005,88.239999999999995,39.619999999999997,45.880000000000003,39.359999999999999,45.880000000000003,38.229999999999997,46.259999999999998,36.789999999999999,45.609999999999999,37.899999999999999,46.170000000000002
17
+ QwenCoder 2.5 32B,87.180000000000007,77.959999999999994,45,43.270000000000003,44.869999999999997,43.270000000000003,44.25,46.82,43.030000000000001,43.200000000000003,43.759999999999998,45.420000000000002,31.07,83.719999999999999,87.060000000000002,45.640000000000001,54.119999999999997,45.130000000000003,54.119999999999997,44.590000000000003,54.549999999999997,43.009999999999998,54.009999999999998,44.549999999999997,55.009999999999998
18
+ DeepCoder 14B,43.850000000000001,39.590000000000003,28.079999999999998,23.670000000000002,28.079999999999998,22.039999999999999,27.940000000000001,25,26.260000000000002,22,27.77,23.149999999999999,-1,61.920000000000002,48.240000000000002,34.100000000000001,32.939999999999998,33.719999999999999,32.939999999999998,33.700000000000003,30.469999999999999,32.170000000000002,32.840000000000003,33.670000000000002,32.909999999999997
19
+ QwenCoder 2.5 14B,78.969999999999999,81.629999999999995,37.82,46.119999999999997,37.439999999999998,45.310000000000002,35.939999999999998,45.82,34.829999999999998,44.640000000000001,35.18,46.049999999999997,37.530000000000001,80,83.530000000000001,41.670000000000002,48.240000000000002,41.149999999999999,48.240000000000002,40.740000000000002,47.090000000000003,39.200000000000003,48.289999999999999,40.829999999999998,47.539999999999999
20
+ SeedCoder 8B,91.409999999999997,85.310000000000002,53.460000000000001,47.350000000000001,53.329999999999998,46.530000000000001,52.859999999999999,49.420000000000002,50.619999999999997,45.600000000000001,51.649999999999999,49.590000000000003,28.23,77.439999999999998,94.120000000000005,37.310000000000002,42.350000000000001,37.310000000000002,38.82,37.32,35.289999999999999,35.350000000000001,38.689999999999998,36.890000000000001,38.990000000000002
21
+ SeedCoder 8B Reasoning,67.819999999999993,53.469999999999999,49.229999999999997,30.199999999999999,49.229999999999997,29.390000000000001,48.920000000000002,32.039999999999999,46.759999999999998,28.640000000000001,47.869999999999997,29.989999999999998,-1,83.329999999999998,78.819999999999993,48.210000000000001,62.350000000000001,48.079999999999998,62.350000000000001,47.780000000000001,53.479999999999997,45.439999999999998,61.810000000000002,47.060000000000002,64.620000000000005
22
+ OpenCoder 8B,78.209999999999994,75.920000000000002,28.460000000000001,42.859999999999999,27.82,40.82,27.34,41.359999999999999,25.949999999999999,39.770000000000003,27.109999999999999,41.359999999999999,16.170000000000002,80,95.290000000000006,35.640000000000001,45.880000000000003,35.380000000000003,45.880000000000003,35.119999999999997,42.399999999999999,33.469999999999999,45.75,35.130000000000003,46.259999999999998
23
+ QwenCoder 2.5 7B,20.129999999999999,76.329999999999998,6.9199999999999999,38.780000000000001,6.6699999999999999,37.140000000000001,6.5099999999999998,40.649999999999999,6.6299999999999999,37.25,6.5599999999999996,39.579999999999998,28.329999999999998,74.099999999999994,90.590000000000003,33.719999999999999,40,33.719999999999999,40,33.590000000000003,37.729999999999997,31.780000000000001,40.07,33.619999999999997,40.57
24
+ DeepSeek Coder 6.7B,82.049999999999997,78.780000000000001,29.620000000000001,41.219999999999999,29.489999999999998,38.780000000000001,29.510000000000002,42.619999999999997,27.73,39.329999999999998,29.41,43.299999999999997,24.629999999999999,67.180000000000007,84.709999999999994,31.670000000000002,37.649999999999999,29.870000000000001,37.649999999999999,29.780000000000001,36.450000000000003,27.98,37.469999999999999,29.210000000000001,37.659999999999997
25
+ CodeV R1 Distill Qwen 7B,56.920000000000002,73.060000000000002,33.329999999999998,49.799999999999997,33.329999999999998,47.350000000000001,32.579999999999998,49.25,32.009999999999998,47.450000000000003,32.450000000000003,49.009999999999998,-1,92.689999999999998,89.409999999999997,21.280000000000001,65.879999999999995,21.280000000000001,65.879999999999995,21.039999999999999,60.100000000000001,19.59,65.590000000000003,21.050000000000001,66.239999999999995
26
+ HaVen-CodeQwen,93.329999999999998,80.409999999999997,47.310000000000002,42.859999999999999,46.149999999999999,41.219999999999999,45.079999999999998,40.590000000000003,44.259999999999998,38.829999999999998,44.68,40.530000000000001,25.140000000000001,93.590000000000003,100,50.130000000000003,62.350000000000001,49.490000000000002,62.350000000000001,47.549999999999997,61.82,47.049999999999997,62.530000000000001,47.090000000000003,61.759999999999998
27
+ CodeV-QW-7B,45.380000000000003,68.159999999999997,19.620000000000001,34.289999999999999,18.969999999999999,26.530000000000001,18.91,28.140000000000001,18.710000000000001,21.800000000000001,18.850000000000001,26.5,20.940000000000001,93.329999999999998,100,52.310000000000002,60,51.539999999999999,60,51.689999999999998,59.899999999999999,48.789999999999999,59.950000000000003,51.450000000000003,60.579999999999998
28
+ RTLCoder Mistral,54.869999999999997,32.240000000000002,24.620000000000001,16.329999999999998,24.620000000000001,15.92,24.280000000000001,16.030000000000001,22.780000000000001,14.710000000000001,24.059999999999999,16,14.77,60.509999999999998,85.879999999999995,27.050000000000001,51.759999999999998,27.050000000000001,51.759999999999998,26.940000000000001,49.850000000000001,25.219999999999999,51.939999999999998,26.870000000000001,52.719999999999999
29
+ RTLCoder DeepSeek,84.620000000000005,73.060000000000002,39.490000000000002,37.140000000000001,39.490000000000002,34.689999999999998,38.909999999999997,34.299999999999997,37.520000000000003,32.759999999999998,38.549999999999997,33.689999999999998,19.350000000000001,77.310000000000002,85.879999999999995,36.920000000000002,55.289999999999999,36.789999999999999,55.289999999999999,36.939999999999998,50.789999999999999,34.840000000000003,55.219999999999999,36.619999999999997,54.689999999999998
30
+ OriGen,96.150000000000006,81.629999999999995,54.229999999999997,50.609999999999999,54.229999999999997,50.609999999999999,54.289999999999999,53.100000000000001,51.57,50.859999999999999,53.149999999999999,53.439999999999998,17.07,92.439999999999998,98.819999999999993,50.770000000000003,76.469999999999999,50.770000000000003,76.469999999999999,50.950000000000003,71.659999999999997,48.530000000000001,76.609999999999999,50.509999999999998,78.700000000000003
31
+ CodeV-CL-7B,32.18,48.159999999999997,13.08,24.489999999999998,12.949999999999999,21.629999999999999,12.800000000000001,22.25,12.51,20.59,12.82,21.289999999999999,12.27,92.049999999999997,98.819999999999993,31.789999999999999,49.409999999999997,31.789999999999999,49.409999999999997,31.739999999999998,48.130000000000003,29.449999999999999,49.340000000000003,31.609999999999999,49.079999999999998
32
+ CodeV-DS-6.7B,33.590000000000003,67.349999999999994,15,38.780000000000001,15,37.140000000000001,15.1,35.560000000000002,14.460000000000001,35.130000000000003,14.85,35.880000000000003,21.260000000000002,95.510000000000005,100,47.049999999999997,61.18,47.049999999999997,60,47.369999999999997,59.880000000000003,44.350000000000001,59.960000000000001,46.520000000000003,59.770000000000003
33
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34
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35
+ ,,,,,,,,,,,,,,,,,,,,,,,,,
36
+ ,,,,,,,,,,,,,,,,,,,,,,,,,
37
+ ,,,,,,,,,,,,,,,,,,,,,,,,,
38
+ ,,,,,,,,,,,,,,,,,,,,,,,,,
39
+ ,,,,,,,,,,,,,,,,,,,,,,,,,
40
+ ,,,,,,,,,,,,,,,,,,,,,,,,,
41
+ ,,,,,,,,,,,,,,,,,,,,,,,,,
42
+ ,,,,,,,,,,,,,,,,,,,,,,,,,
43
+ ,,,,,,,,,,,,,,,,,,,,,,,,,
44
+ ,,,,,,,,,,,,,,,,,,,,,,,,,
45
+ ,,,,,,,,,,,,,,,,,,,,,,,,,
46
+ ,,,,,,,,,,,,,,,,,,,,,,,,,
47
+ ,,,,,,,,,,,,,,,,,,,,,,,,,
48
+ ,,,,,,,,,,,,,,,,,,,,,,,,,
49
+ ,,,,,,,,,,,,,,,,,,,,,,,,,
50
+ ,,,,,,,,,,,,,,,,,,,,,,,,,
51
+ ,,,,,,,,,,,,,,,,,,,,,,,,,
52
+ ,,,,,,,,,,,,,,,,,,,,,,,,,
53
+ ,,,,,,,,,,,,,,,,,,,,,,,,,
54
+ ,,,,,,,,,,,,,,,,,,,,,,,,,
55
+ ,,,,,,,,,,,,,,,,,,,,,,,,,
56
+ ,,,,,,,,,,,,,,,,,,,,,,,,,
57
+ ,,,,,,,,,,,,,,,,,,,,,,,,,
58
+ ,,,,,,,,,,,,,,,,,,,,,,,,,
59
+ ,,,,,,,,,,,,,,,,,,,,,,,,,
60
+ ,,,,,,,,,,,,,,,,,,,,,,,,,
61
+ ,,,,,,,,,,,,,,,,,,,,,,,,,
62
+ ,,,,,,,,,,,,,,,,,,,,,,,,,
63
+ ,,,,,,,,,,,,,,,,,,,,,,,,,
results/results_v3_mlcad_verilator.csv ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ,Syntax (STX),Syntax (STX),Functionality (FNC),Functionality (FNC),Synthesis (SYN),Synthesis (SYN),Power,Power,Performance,Performance,Area,Area,EM,Syntax (STX),Syntax (STX),Functionality (FNC),Functionality (FNC),Synthesis (SYN),Synthesis (SYN),Power,Power,Performance,Performance,Area,Area
2
+ ,VerilogEval S2R,RTLLM,VerilogEval S2R,RTLLM,VerilogEval S2R,RTLLM,VerilogEval S2R,RTLLM,VerilogEval S2R,RTLLM,VerilogEval S2R,RTLLM,RTL-Repo,VerilogEval MC,VeriGen,VerilogEval MC,VeriGen,VerilogEval MC,VeriGen,VerilogEval MC,VeriGen,VerilogEval MC,VeriGen,VerilogEval MC,VeriGen
3
+ DeepSeek R1-0528,96.540000000000006,89.790000000000006,79.099999999999994,67.659999999999997,78.969999999999999,64.260000000000005,78.439999999999998,73.319999999999993,76.290000000000006,65.379999999999995,78.200000000000003,70.859999999999999,-1,94.739999999999995,98.819999999999993,80,80,79.870000000000005,74.120000000000005,79.659999999999997,63.859999999999999,77.280000000000001,74.049999999999997,79.409999999999997,77.010000000000005
4
+ DeepSeek R1,97.689999999999998,93.189999999999998,79.359999999999999,67.659999999999997,79.099999999999994,62.979999999999997,79.010000000000005,71.379999999999995,76.489999999999995,63.740000000000002,78.629999999999995,69.819999999999993,-1,97.439999999999998,95.290000000000006,77.819999999999993,74.120000000000005,77.689999999999998,74.120000000000005,77.299999999999997,64.579999999999998,75.030000000000001,74.420000000000002,76.939999999999998,77.150000000000006
5
+ Qwen3 Coder 480B A35B,95.900000000000006,89.359999999999999,66.030000000000001,61.280000000000001,65.260000000000005,54.039999999999999,65.329999999999998,53.43,62.450000000000003,53.43,64.239999999999995,52.259999999999998,38.880000000000003,83.969999999999999,100,58.719999999999999,75.290000000000006,58.210000000000001,75.290000000000006,57.579999999999998,69.629999999999995,55.420000000000002,73.950000000000003,56.5,76.760000000000005
6
+ Llama 3.1 405B,88.209999999999994,83.400000000000006,56.789999999999999,50.210000000000001,56.409999999999997,43.829999999999998,55.159999999999997,53.869999999999997,54.009999999999998,33.829999999999998,53.990000000000002,45.729999999999997,34.619999999999997,90.510000000000005,95.290000000000006,57.689999999999998,60,56.670000000000002,55.289999999999999,55.950000000000003,51.57,54.090000000000003,54.869999999999997,55.259999999999998,57.670000000000002
7
+ Qwen3 236B A22B,93.969999999999999,78.719999999999999,75.769999999999996,56.170000000000002,75.379999999999995,50.210000000000001,75,57.009999999999998,72.939999999999998,47.850000000000001,74.780000000000001,52.450000000000003,41.939999999999998,83.719999999999999,88.239999999999995,68.969999999999999,62.350000000000001,68.459999999999994,62.350000000000001,68.299999999999997,54.630000000000003,65.989999999999995,62.630000000000003,68.349999999999994,62.780000000000001
8
+ Qwen2.5 72B,83.849999999999994,82.980000000000004,55,48.509999999999998,54.490000000000002,45.960000000000001,53.969999999999999,48.450000000000003,51.299999999999997,47.340000000000003,52.840000000000003,49.68,37.439999999999998,83.079999999999998,87.060000000000002,54.740000000000002,50.590000000000003,54.359999999999999,50.590000000000003,53.359999999999999,50.049999999999997,51.200000000000003,50.560000000000002,52.759999999999998,52.229999999999997
9
+ Llama 3.(1-3) 70B,68.329999999999998,79.150000000000006,40.899999999999999,45.960000000000001,40.899999999999999,40.43,40.770000000000003,42.119999999999997,38.329999999999998,39.340000000000003,40.420000000000002,40.920000000000002,28.719999999999999,86.030000000000001,87.060000000000002,43.719999999999999,63.530000000000001,43.590000000000003,63.530000000000001,43.549999999999997,62.289999999999999,41.57,63.520000000000003,42.939999999999998,63.539999999999999
10
+ QwQ 32B,89.230000000000004,85.959999999999994,67.560000000000002,58.299999999999997,67.180000000000007,53.619999999999997,67.040000000000006,57.289999999999999,64.780000000000001,53.340000000000003,66.439999999999998,57.560000000000002,-1,59.619999999999997,87.060000000000002,40.130000000000003,65.879999999999995,39.490000000000002,64.709999999999994,39.259999999999998,60.950000000000003,37.490000000000002,64.480000000000004,39.170000000000002,66.310000000000002
11
+ Qwen2.5 32B,90.900000000000006,87.659999999999997,55.899999999999999,50.210000000000001,55.259999999999998,46.810000000000002,55.560000000000002,50.659999999999997,53.100000000000001,47.409999999999997,54.020000000000003,51.369999999999997,28.93,95.510000000000005,85.879999999999995,45,49.409999999999997,43.719999999999999,49.409999999999997,43.719999999999999,46.409999999999997,42.490000000000002,49.890000000000001,42.950000000000003,49.609999999999999
12
+ Magistral Small 2506,65.129999999999995,74.040000000000006,42.950000000000003,44.259999999999998,42.310000000000002,37.450000000000003,41.810000000000002,43.100000000000001,40.189999999999998,37.369999999999997,41.75,40.350000000000001,-1,31.789999999999999,70.590000000000003,21.030000000000001,55.289999999999999,20.77,54.119999999999997,20.329999999999998,46.600000000000001,20.079999999999998,54.020000000000003,20.66,55.060000000000002
13
+ StarChat2 15B v0.1,88.719999999999999,89.359999999999999,38.850000000000001,48.509999999999998,38.850000000000001,45.960000000000001,38.920000000000002,48.950000000000003,36.18,45.049999999999997,38.810000000000002,48.630000000000003,13.42,81.409999999999997,91.760000000000005,36.539999999999999,63.530000000000001,36.280000000000001,63.530000000000001,36.189999999999998,57.509999999999998,35.109999999999999,63.229999999999997,36.240000000000002,65
14
+ DeepSeek R1 Distill Qwen 14B,42.82,36.600000000000001,25.260000000000002,20.43,25,17.02,24.809999999999999,18.620000000000001,23.68,17.18,24.829999999999998,18.07,-1,45.640000000000001,44.710000000000001,25.379999999999999,29.41,25.260000000000002,29.41,24.98,25.920000000000002,23.609999999999999,29.43,24.690000000000001,29.649999999999999
15
+ CodeLlama 70B,67.310000000000002,77.450000000000003,34.740000000000002,38.719999999999999,34.490000000000002,36.170000000000002,34.030000000000001,39.18,32.880000000000003,36.140000000000001,33.829999999999998,37.93,24.329999999999998,92.560000000000002,88.239999999999995,35.770000000000003,52.939999999999998,35.380000000000003,51.759999999999998,34.810000000000002,50.619999999999997,32.340000000000003,51.890000000000001,34.520000000000003,52.359999999999999
16
+ DeepSeek Coder 33B,64.489999999999995,88.939999999999998,23.59,46.380000000000003,23.59,44.259999999999998,23.370000000000001,44.539999999999999,23.32,41.539999999999999,22.739999999999998,45.039999999999999,24.579999999999998,76.540000000000006,88.239999999999995,40.130000000000003,50.590000000000003,39.869999999999997,50.590000000000003,38.700000000000003,51.5,37.329999999999998,50.219999999999999,38.399999999999999,51.630000000000003
17
+ QwenCoder 2.5 32B,90.260000000000005,81.280000000000001,46.539999999999999,47.659999999999997,46.409999999999997,45.109999999999999,45.950000000000003,48.810000000000002,44.420000000000002,45.039999999999999,45.57,47.359999999999999,31.07,86.150000000000006,85.879999999999995,48.210000000000001,54.119999999999997,47.560000000000002,54.119999999999997,47.350000000000001,54.590000000000003,45.350000000000001,54.119999999999997,46.780000000000001,55.140000000000001
18
+ DeepCoder 14B,45.130000000000003,42.549999999999997,28.719999999999999,25.530000000000001,28.719999999999999,22.98,28.579999999999998,26.059999999999999,26.859999999999999,22.940000000000001,28.16,24.140000000000001,-1,63.460000000000001,49.409999999999997,34.359999999999999,37.649999999999999,34.100000000000001,35.289999999999999,34.170000000000002,32.789999999999999,32.579999999999998,35.289999999999999,33.409999999999997,35.280000000000001
19
+ QwenCoder 2.5 14B,80.900000000000006,82.980000000000004,39.869999999999997,50.640000000000001,38.969999999999999,47.659999999999997,37.490000000000002,47.82,36.369999999999997,46.979999999999997,36.729999999999997,48.399999999999999,37.530000000000001,81.409999999999997,84.709999999999994,43.079999999999998,50.590000000000003,42.439999999999998,50.590000000000003,42.020000000000003,49.509999999999998,40.479999999999997,50.859999999999999,42.109999999999999,50.149999999999999
20
+ SeedCoder 8B,96.409999999999997,89.359999999999999,54.359999999999999,51.490000000000002,54.229999999999997,48.509999999999998,53.68,51.520000000000003,51.5,47.539999999999999,52.560000000000002,51.700000000000003,28.23,78.209999999999994,91.760000000000005,38.210000000000001,47.060000000000002,38.079999999999998,43.530000000000001,38.100000000000001,37.890000000000001,36.090000000000003,43.770000000000003,37.539999999999999,43.869999999999997
21
+ SeedCoder 8B Reasoning,68.719999999999999,56.170000000000002,48.079999999999998,34.039999999999999,48.079999999999998,30.640000000000001,48.270000000000003,33.409999999999997,45.780000000000001,29.859999999999999,47,31.27,-1,84.489999999999995,80,48.969999999999999,63.530000000000001,48.850000000000001,63.530000000000001,48.68,54.979999999999997,46.32,62.969999999999999,47.530000000000001,66.099999999999994
22
+ OpenCoder 8B,80,80,27.949999999999999,43.829999999999998,27.949999999999999,42.130000000000003,27.52,42.439999999999998,26.07,40.979999999999997,27.280000000000001,42.460000000000001,16.170000000000002,81.030000000000001,94.120000000000005,36.789999999999999,49.409999999999997,36.149999999999999,44.710000000000001,35.890000000000001,41.219999999999999,34.240000000000002,44.579999999999998,35.899999999999999,45.079999999999998
23
+ QwenCoder 2.5 7B,19.23,83.400000000000006,7.1799999999999997,40.850000000000001,7.1799999999999997,38.719999999999999,7.0199999999999996,42.310000000000002,7.1500000000000004,38.710000000000001,7.0800000000000001,41.200000000000003,28.329999999999998,76.150000000000006,90.590000000000003,35,48.240000000000002,34.740000000000002,48.240000000000002,34.619999999999997,44.93,32.799999999999997,48.399999999999999,34.649999999999999,49.759999999999998
24
+ "DeepSeek Coder 6,7B",86.030000000000001,89.359999999999999,31.280000000000001,45.960000000000001,31.149999999999999,42.979999999999997,31.16,47.369999999999997,29.149999999999999,43.299999999999997,31.079999999999998,48.170000000000002,24.629999999999999,69.099999999999994,83.530000000000001,31.670000000000002,37.649999999999999,30.129999999999999,37.649999999999999,30.190000000000001,36.450000000000003,28.16,37.469999999999999,29.82,37.659999999999997
25
+ CodeV R1 Distill Qwen 7B,56.409999999999997,79.150000000000006,33.969999999999999,50.640000000000001,33.850000000000001,48.939999999999998,33.799999999999997,50.920000000000002,32.490000000000002,49.039999999999999,33.710000000000001,50.670000000000002,-1,94.230000000000004,87.060000000000002,22.18,63.530000000000001,22.18,63.530000000000001,22.210000000000001,57.75,20.73,63.240000000000002,22.079999999999998,63.890000000000001
26
+ HaVen-CodeQwen,93.969999999999999,84.260000000000005,46.789999999999999,47.229999999999997,46.280000000000001,44.259999999999998,45.469999999999999,42.270000000000003,44.289999999999999,42.07,45.5,44.270000000000003,25.140000000000001,95,95.290000000000006,50,67.060000000000002,50,67.060000000000002,48.509999999999998,65.700000000000003,47.560000000000002,67.609999999999999,48.140000000000001,66.799999999999997
27
+ CodeV-QW-7B,45.259999999999998,71.489999999999995,20.640000000000001,36.170000000000002,20,29.359999999999999,19.940000000000001,30.309999999999999,19.739999999999998,24.52,19.879999999999999,28.48,20.940000000000001,92.689999999999998,96.469999999999999,51.539999999999999,57.649999999999999,51.409999999999997,57.649999999999999,51.520000000000003,56.439999999999998,48.710000000000001,57.560000000000002,51.310000000000002,58.350000000000001
28
+ RTLCoder Mistral,56.030000000000001,35.32,25.379999999999999,17.02,25.379999999999999,16.170000000000002,25.52,15.859999999999999,23.18,15.34,25.539999999999999,15.84,14.77,62.310000000000002,87.060000000000002,27.309999999999999,56.469999999999999,27.18,56.469999999999999,26.93,52.350000000000001,25.43,56.549999999999997,26.949999999999999,59.170000000000002
29
+ RTLCoder DeepSeek,84.739999999999995,76.170000000000002,40.509999999999998,42.130000000000003,40.380000000000003,37.450000000000003,39.729999999999997,36.75,38.439999999999998,35.289999999999999,39.399999999999999,36.390000000000001,19.350000000000001,79.230000000000004,85.879999999999995,36.409999999999997,55.289999999999999,36.409999999999997,55.289999999999999,36.490000000000002,50.789999999999999,34.509999999999998,55.219999999999999,36.210000000000001,54.689999999999998
30
+ OriGen,96.790000000000006,85.109999999999999,54.359999999999999,53.189999999999998,53.850000000000001,51.060000000000002,54.079999999999998,54.170000000000002,51.07,51.310000000000002,53.009999999999998,54.390000000000001,17.07,92.560000000000002,96.469999999999999,50.509999999999998,74.120000000000005,50.509999999999998,74.120000000000005,50.829999999999998,69.299999999999997,48.280000000000001,74.260000000000005,50.409999999999997,76.349999999999994
31
+ CodeV-CL-7B,32.82,54.469999999999999,13.460000000000001,29.359999999999999,13.33,22.550000000000001,13.19,23.190000000000001,13.26,21.469999999999999,13.19,22.190000000000001,12.27,92.180000000000007,98.819999999999993,31.789999999999999,49.409999999999997,31.789999999999999,49.409999999999997,31.739999999999998,48.130000000000003,29.829999999999998,49.340000000000003,31.609999999999999,49.079999999999998
32
+ CodeV-DS-6.7B,34.359999999999999,69.790000000000006,14.74,41.280000000000001,14.359999999999999,37.869999999999997,14.380000000000001,35.890000000000001,14.130000000000001,35.740000000000002,14.19,36.18,21.260000000000002,95.769999999999996,100,46.670000000000002,61.18,46.670000000000002,61.18,47.07,61.060000000000002,44.189999999999998,61.130000000000003,46.469999999999999,60.950000000000003
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4792
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4793
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4807
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4836
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4837
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4843
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4852
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4853
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4872
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4873
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4877
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4883
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4892
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4893
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4895
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4896
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4899
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4900
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4902
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4903
- "Model": "DeepSeek Coder 6.7B",
4904
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4905
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4975
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5003
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501
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2411
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2412
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2413
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2414
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2415
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2416
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2417
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2418
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2421
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2422
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2423
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2424
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2425
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2426
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2427
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2428
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2431
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2433
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2434
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2436
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2437
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2438
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2439
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2441
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2442
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2443
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2444
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2445
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2446
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2447
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2448
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2449
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2451
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2453
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2455
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2456
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2457
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2458
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2459
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2460
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2461
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2462
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2463
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2464
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2465
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2466
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2467
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2468
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2469
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2470
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2471
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2472
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2473
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2474
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2475
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2476
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2477
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2478
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2479
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2480
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2481
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2482
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2483
+ "Model": "Magistral Small 2506",
2484
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2485
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2486
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2487
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2488
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2489
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2490
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2491
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2492
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2493
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2494
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2495
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2496
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2497
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2498
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2499
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2500
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2501
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2502
  {
2503
  "Model": "StarChat2 15B v0.1",
2504
  "Model Type": "General",
 
5250
  "Release": "V1"
5251
  },
5252
  {
5253
+ "Model": "DeepSeek Coder 6,7B",
5254
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5255
  "Benchmark": "VerilogEval S2R",
5256
  "Task": "Syntax (STX)",
5257
  "Result": 86.03,
5258
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5259
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5260
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5261
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5262
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5263
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5264
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5265
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5266
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5267
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5268
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5269
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5270
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5271
  },
5272
  {
5273
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5274
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5275
  "Benchmark": "VerilogEval S2R",
5276
  "Task": "Functionality (FNC)",
5277
  "Result": 31.28,
5278
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5279
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5280
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5281
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5282
  {
5283
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5284
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5285
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5286
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5287
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5288
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5289
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5290
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5291
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5292
  {
5293
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5294
+ "Model Type": "Unknown",
5295
  "Benchmark": "VerilogEval S2R",
5296
  "Task": "Synthesis (SYN)",
5297
  "Result": 31.15,
5298
+ "Model URL": "-",
5299
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5300
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5301
  },
5302
  {
5303
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5304
+ "Model Type": "Unknown",
5305
  "Benchmark": "RTLLM",
5306
  "Task": "Synthesis (SYN)",
5307
  "Result": 42.98,
5308
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5309
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5310
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5311
  },
5312
  {
5313
+ "Model": "DeepSeek Coder 6,7B",
5314
+ "Model Type": "Unknown",
5315
  "Benchmark": "VerilogEval S2R",
5316
  "Task": "Power",
5317
  "Result": 31.16,
5318
+ "Model URL": "-",
5319
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5320
+ "Release": "Unknown"
5321
  },
5322
  {
5323
+ "Model": "DeepSeek Coder 6,7B",
5324
+ "Model Type": "Unknown",
5325
  "Benchmark": "RTLLM",
5326
  "Task": "Power",
5327
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5328
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5329
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5330
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5331
  },
5332
  {
5333
+ "Model": "DeepSeek Coder 6,7B",
5334
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5335
  "Benchmark": "VerilogEval S2R",
5336
  "Task": "Performance",
5337
  "Result": 29.15,
5338
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5339
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5340
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5341
  },
5342
  {
5343
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5344
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5345
  "Benchmark": "RTLLM",
5346
  "Task": "Performance",
5347
  "Result": 43.3,
5348
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5349
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5350
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5351
  },
5352
  {
5353
+ "Model": "DeepSeek Coder 6,7B",
5354
+ "Model Type": "Unknown",
5355
  "Benchmark": "VerilogEval S2R",
5356
  "Task": "Area",
5357
  "Result": 31.08,
5358
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5359
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5360
+ "Release": "Unknown"
5361
  },
5362
  {
5363
+ "Model": "DeepSeek Coder 6,7B",
5364
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5365
  "Benchmark": "RTLLM",
5366
  "Task": "Area",
5367
  "Result": 48.17,
5368
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5369
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5370
+ "Release": "Unknown"
5371
  },
5372
  {
5373
+ "Model": "DeepSeek Coder 6,7B",
5374
+ "Model Type": "Unknown",
5375
  "Benchmark": "RTL-Repo",
5376
  "Task": "Exact Matching (EM)",
5377
  "Result": 24.63,
5378
+ "Model URL": "-",
5379
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5380
+ "Release": "Unknown"
5381
  },
5382
  {
5383
+ "Model": "DeepSeek Coder 6,7B",
5384
+ "Model Type": "Unknown",
5385
  "Benchmark": "VerilogEval MC",
5386
  "Task": "Syntax (STX)",
5387
  "Result": 69.1,
5388
+ "Model URL": "-",
5389
+ "Params": 0.0,
5390
+ "Release": "Unknown"
5391
  },
5392
  {
5393
+ "Model": "DeepSeek Coder 6,7B",
5394
+ "Model Type": "Unknown",
5395
  "Benchmark": "VeriGen",
5396
  "Task": "Syntax (STX)",
5397
  "Result": 83.53,
5398
+ "Model URL": "-",
5399
+ "Params": 0.0,
5400
+ "Release": "Unknown"
5401
  },
5402
  {
5403
+ "Model": "DeepSeek Coder 6,7B",
5404
+ "Model Type": "Unknown",
5405
  "Benchmark": "VerilogEval MC",
5406
  "Task": "Functionality (FNC)",
5407
  "Result": 31.67,
5408
+ "Model URL": "-",
5409
+ "Params": 0.0,
5410
+ "Release": "Unknown"
5411
  },
5412
  {
5413
+ "Model": "DeepSeek Coder 6,7B",
5414
+ "Model Type": "Unknown",
5415
  "Benchmark": "VeriGen",
5416
  "Task": "Functionality (FNC)",
5417
  "Result": 37.65,
5418
+ "Model URL": "-",
5419
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5420
+ "Release": "Unknown"
5421
  },
5422
  {
5423
+ "Model": "DeepSeek Coder 6,7B",
5424
+ "Model Type": "Unknown",
5425
  "Benchmark": "VerilogEval MC",
5426
  "Task": "Synthesis (SYN)",
5427
  "Result": 30.13,
5428
+ "Model URL": "-",
5429
+ "Params": 0.0,
5430
+ "Release": "Unknown"
5431
  },
5432
  {
5433
+ "Model": "DeepSeek Coder 6,7B",
5434
+ "Model Type": "Unknown",
5435
  "Benchmark": "VeriGen",
5436
  "Task": "Synthesis (SYN)",
5437
  "Result": 37.65,
5438
+ "Model URL": "-",
5439
+ "Params": 0.0,
5440
+ "Release": "Unknown"
5441
  },
5442
  {
5443
+ "Model": "DeepSeek Coder 6,7B",
5444
+ "Model Type": "Unknown",
5445
  "Benchmark": "VerilogEval MC",
5446
  "Task": "Power",
5447
  "Result": 30.19,
5448
+ "Model URL": "-",
5449
+ "Params": 0.0,
5450
+ "Release": "Unknown"
5451
  },
5452
  {
5453
+ "Model": "DeepSeek Coder 6,7B",
5454
+ "Model Type": "Unknown",
5455
  "Benchmark": "VeriGen",
5456
  "Task": "Power",
5457
  "Result": 36.45,
5458
+ "Model URL": "-",
5459
+ "Params": 0.0,
5460
+ "Release": "Unknown"
5461
  },
5462
  {
5463
+ "Model": "DeepSeek Coder 6,7B",
5464
+ "Model Type": "Unknown",
5465
  "Benchmark": "VerilogEval MC",
5466
  "Task": "Performance",
5467
  "Result": 28.16,
5468
+ "Model URL": "-",
5469
+ "Params": 0.0,
5470
+ "Release": "Unknown"
5471
  },
5472
  {
5473
+ "Model": "DeepSeek Coder 6,7B",
5474
+ "Model Type": "Unknown",
5475
  "Benchmark": "VeriGen",
5476
  "Task": "Performance",
5477
  "Result": 37.47,
5478
+ "Model URL": "-",
5479
+ "Params": 0.0,
5480
+ "Release": "Unknown"
5481
  },
5482
  {
5483
+ "Model": "DeepSeek Coder 6,7B",
5484
+ "Model Type": "Unknown",
5485
  "Benchmark": "VerilogEval MC",
5486
  "Task": "Area",
5487
  "Result": 29.82,
5488
+ "Model URL": "-",
5489
+ "Params": 0.0,
5490
+ "Release": "Unknown"
5491
  },
5492
  {
5493
+ "Model": "DeepSeek Coder 6,7B",
5494
+ "Model Type": "Unknown",
5495
  "Benchmark": "VeriGen",
5496
  "Task": "Area",
5497
  "Result": 37.66,
5498
+ "Model URL": "-",
5499
+ "Params": 0.0,
5500
+ "Release": "Unknown"
5501
  },
5502
  {
5503
  "Model": "CodeV R1 Distill Qwen 7B",
results/v2/aggregated_scores_icarus.csv ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Model,Agg S2R,Agg MC,Agg VerilogEval S2R,Agg VerilogEval MC,Agg RTLLM,Agg VeriGen
2
+ DeepSeek R1-0528,76.79,77.79,78.84,79.65,70.04,71.64
3
+ DeepSeek R1,75.53,76.24,77.67,77.55,68.49,71.92
4
+ Llama 3.1 405B,53.23,55.25,56.55,54.35,42.26,58.23
5
+ Qwen3 235B A22B,69.16,66.42,74.83,68.36,50.48,60.01
6
+ Qwen2.5 72B,49.36,49.97,50.22,50.74,46.51,47.42
7
+ Llama 3.(1-3) 70B,39.48,46.29,39.47,40.83,39.53,64.29
8
+ QwQ 32B,62.6,41.92,65.02,38.68,54.6,52.6
9
+ Qwen2.5 32B,50.39,41.94,50.86,41.01,48.86,45.0
10
+ StarChat2 15B v0.1,38.76,41.72,36.68,35.58,45.61,61.96
11
+ DeepSeek R1 Distill Qwen 14B,23.14,24.94,24.94,24.3,17.22,27.07
12
+ CodeLlama 70B,33.04,35.59,32.2,32.27,35.81,46.56
13
+ DeepSeek Coder 33B,27.03,39.59,22.65,37.64,41.47,46.01
14
+ QwenCoder 2.5 32B,44.02,46.49,43.68,44.05,45.15,54.52
15
+ DeepCoder 14B,26.4,32.92,27.32,33.18,23.38,32.07
16
+ QwenCoder 2.5 14B,37.69,41.98,35.32,40.26,45.5,47.64
17
+ SeedCoder 8B,50.89,36.79,51.71,36.52,48.2,37.66
18
+ SeedCoder 8B Reasoning,43.75,49.83,47.85,46.76,30.22,59.97
19
+ OpenCoder 8B,30.06,36.95,26.8,34.57,40.83,44.8
20
+ QwenCoder 2.5 7B,14.15,34.5,6.57,33.0,39.16,39.46
21
+ DeepSeek Coder 6.7B,31.87,30.9,28.88,28.99,41.75,37.19
22
+ CodeV R1 Distill Qwen 7B,36.12,30.66,32.35,20.56,48.57,63.98
23
+ HaVen-CodeQwen,43.58,50.68,44.67,47.23,39.98,62.04
24
+ CodeV-QW-7B,20.37,52.85,18.82,50.64,25.48,60.14
25
+ RTLCoder Mistral,21.82,32.19,23.71,26.34,15.58,51.5
26
+ RTLCoder DeepSeek,37.22,40.19,38.33,36.13,33.58,53.57
27
+ OriGen,52.88,55.97,53.0,50.0,52.47,75.66
28
+ CodeV-CL-7B,14.73,35.1,12.71,30.93,21.38,48.85
29
+ CodeV-DS-6.7B,19.62,49.29,14.8,46.08,35.52,59.87
results/v2/aggregated_scores_verilator.csv ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Model,Agg S2R,Agg MC,Agg VerilogEval S2R,Agg VerilogEval MC,Agg RTLLM,Agg VeriGen
2
+ DeepSeek R1-0528,75.83,77.12,77.64,78.78,69.85,71.64
3
+ DeepSeek R1,75.78,75.4,78.04,76.42,68.31,72.05
4
+ Llama 3.1 405B,52.08,55.01,54.39,55.1,44.48,54.7
5
+ Qwen3 236B A22B,69.17,65.8,74.24,67.55,52.44,60.01
6
+ Qwen2.5 72B,51.72,52.09,52.7,52.44,48.49,50.95
7
+ Llama 3.(1-3) 70B,40.06,47.44,39.84,42.69,40.79,63.12
8
+ QwQ 32B,63.76,44.52,66.09,38.64,56.06,63.91
9
+ Qwen2.5 32B,53.2,44.35,54.23,43.05,49.81,48.64
10
+ StarChat2 15B v0.1,40.2,41.91,37.97,35.85,47.54,61.91
11
+ DeepSeek R1 Distill Qwen 14B,22.93,25.34,24.44,24.43,17.96,28.33
12
+ CodeLlama 70B,34.55,38.02,33.58,33.89,37.75,51.62
13
+ DeepSeek Coder 33B,27.93,41.16,23.14,38.14,43.71,51.12
14
+ QwenCoder 2.5 32B,45.72,48.38,45.31,46.49,47.07,54.62
15
+ DeepCoder 14B,27.06,33.64,27.87,33.39,24.38,34.45
16
+ QwenCoder 2.5 14B,39.39,43.55,36.86,41.54,47.73,50.17
17
+ SeedCoder 8B,52.04,38.31,52.58,37.24,50.25,41.84
18
+ SeedCoder 8B Reasoning,43.41,50.73,47.02,47.51,31.51,61.35
19
+ OpenCoder 8B,30.45,37.27,26.96,35.34,41.96,43.63
20
+ QwenCoder 2.5 7B,14.91,37.2,7.08,34.02,40.74,47.7
21
+ DeepSeek Coder 6.7B,34.14,31.2,30.46,29.39,46.28,37.19
22
+ CodeV R1 Distill Qwen 7B,37.26,30.97,33.33,21.67,50.21,61.63
23
+ HaVen-CodeQwen,44.57,52.4,45.09,48.07,42.87,66.7
24
+ CodeV-QW-7B,21.69,52.12,19.85,50.51,27.77,57.45
25
+ RTLCoder Mistral,22.64,33.32,24.75,26.44,15.68,56.02
26
+ RTLCoder DeepSeek,38.48,39.89,39.19,35.74,36.14,53.57
27
+ OriGen,52.85,55.3,52.72,49.84,53.29,73.3
28
+ CodeV-CL-7B,15.32,35.2,13.21,31.06,22.28,48.85
29
+ CodeV-DS-6.7B,19.28,49.43,14.23,45.91,35.94,61.05
results/{results_icarus.csv → v2/results_icarus.csv} RENAMED
File without changes
results/v2/results_icarus.json ADDED
The diff for this file is too large to render. See raw diff
 
results/{results_verilator.csv → v2/results_verilator.csv} RENAMED
File without changes
results/v2/results_verilator.json ADDED
The diff for this file is too large to render. See raw diff