File size: 5,255 Bytes
d33d2c9
9b6ada7
 
d33d2c9
13ea60b
 
9b6ada7
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
d33d2c9
13ea60b
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
9b6ada7
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
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
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
---
language:
- en
license: apache-2.0
datasets:
- 0-hero/Matter-0.2-alpha
model-index:
- name: Matter-0.2-7B-DPO
  results:
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: IFEval (0-Shot)
      type: HuggingFaceH4/ifeval
      args:
        num_few_shot: 0
    metrics:
    - type: inst_level_strict_acc and prompt_level_strict_acc
      value: 33.03
      name: strict accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=0-hero/Matter-0.2-7B-DPO
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: BBH (3-Shot)
      type: BBH
      args:
        num_few_shot: 3
    metrics:
    - type: acc_norm
      value: 10.06
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=0-hero/Matter-0.2-7B-DPO
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MATH Lvl 5 (4-Shot)
      type: hendrycks/competition_math
      args:
        num_few_shot: 4
    metrics:
    - type: exact_match
      value: 0.83
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=0-hero/Matter-0.2-7B-DPO
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: GPQA (0-shot)
      type: Idavidrein/gpqa
      args:
        num_few_shot: 0
    metrics:
    - type: acc_norm
      value: 1.23
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=0-hero/Matter-0.2-7B-DPO
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MuSR (0-shot)
      type: TAUR-Lab/MuSR
      args:
        num_few_shot: 0
    metrics:
    - type: acc_norm
      value: 5.87
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=0-hero/Matter-0.2-7B-DPO
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MMLU-PRO (5-shot)
      type: TIGER-Lab/MMLU-Pro
      config: main
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 1.82
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=0-hero/Matter-0.2-7B-DPO
      name: Open LLM Leaderboard
---

## Matter 7B - 0.2 - DPO (Mistral 7B Finetune)

DPO version of [Matter 7B](https://huggingface.co/0-hero/Matter-0.2-7B) fine-tuned on the [Matter dataset](https://huggingface.co/datasets/0-hero/Matter-0.2-alpha), which is curated from over 35 datsets analyzing >6B tokens


### Training

Prompt format: This model uses ChatML prompt format.
```
<|im_start|>system
You are a helpful AI assistant.<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant
```
### Function Calling

Model also supports function calling. Additional tokens for function calling 

Model function call tokens
- <|begin_func|> - Function call start token
- <|end_func|> - Function call end token

Function call response tokens
- <|begin_func_response|> - Function response start token
- <|end_func_response|> - Function response end token

Example
```
<|im_start|>system
  You are a helpful assistant with access to the following functions. Use them if required -
  { "name": "get_news_headlines",
    "description": "Get the latest news headlines",
    "parameters":
      { "type": "object",
        "properties":
        { "country":
          { "type": "string",
            "description": "The country for which to fetch news"
          }
        },
      "required": [ "country" ]
    }
  }
<|im_end|>
<|im_start|>user
   Can you tell me the latest news headlines for the United States?<|im_end|>
<|im_start|>assistant
  <|begin_func|>{"name": "get_news_headlines", "arguments": '{"country": "United States"}'}<|end_func|><|im_end|>
<|im_start|>user
  <|begin_func_response|>{
    "headlines":
      [
        "Biden announces new vaccine mandates",
        "Hurricane Ida devastates Louisiana",
        "Apple unveils new iPhone",
        "NASA's Perseverance rover collects first Mars rock sample"
      ]
  }<|end_func_response|>
<|im_end|>
<|im_start|>assistant
  Here are the latest news headlines for the United States:
  1. Biden announces new vaccine mandates
  2. Hurricane Ida devastates Louisiana
  3. Apple unveils new iPhone
  4. NASA's Perseverance rover collects first Mars rock sample
<|im_end|>
```
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_0-hero__Matter-0.2-7B-DPO)

|      Metric       |Value|
|-------------------|----:|
|Avg.               | 8.81|
|IFEval (0-Shot)    |33.03|
|BBH (3-Shot)       |10.06|
|MATH Lvl 5 (4-Shot)| 0.83|
|GPQA (0-shot)      | 1.23|
|MuSR (0-shot)      | 5.87|
|MMLU-PRO (5-shot)  | 1.82|