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shisa-v2-llama3.1-405b-FP8-Dynamic

Text Generation
Transformers
Safetensors
llama
conversational
text-generation-inference
compressed-tensors
Model card Files Community
leonardlin commited on
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  1. .gitattributes +1 -0
  2. chat_template.jinja +109 -0
  3. config.json +82 -0
  4. generation_config.json +12 -0
  5. model-00001-of-00086.safetensors +3 -0
  6. model-00002-of-00086.safetensors +3 -0
  7. model-00003-of-00086.safetensors +3 -0
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.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
33
  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
36
+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
chat_template.jinja ADDED
@@ -0,0 +1,109 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {{- bos_token }}
2
+ {%- if custom_tools is defined %}
3
+ {%- set tools = custom_tools %}
4
+ {%- endif %}
5
+ {%- if not tools_in_user_message is defined %}
6
+ {%- set tools_in_user_message = true %}
7
+ {%- endif %}
8
+ {%- if not date_string is defined %}
9
+ {%- set date_string = "26 Jul 2024" %}
10
+ {%- endif %}
11
+ {%- if not tools is defined %}
12
+ {%- set tools = none %}
13
+ {%- endif %}
14
+
15
+ {#- This block extracts the system message, so we can slot it into the right place. #}
16
+ {%- if messages[0]['role'] == 'system' %}
17
+ {%- set system_message = messages[0]['content']|trim %}
18
+ {%- set messages = messages[1:] %}
19
+ {%- else %}
20
+ {%- set system_message = "" %}
21
+ {%- endif %}
22
+
23
+ {#- System message + builtin tools #}
24
+ {{- "<|start_header_id|>system<|end_header_id|>\n\n" }}
25
+ {%- if builtin_tools is defined or tools is not none %}
26
+ {{- "Environment: ipython\n" }}
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+ {%- endif %}
28
+ {%- if builtin_tools is defined %}
29
+ {{- "Tools: " + builtin_tools | reject('equalto', 'code_interpreter') | join(", ") + "\n\n"}}
30
+ {%- endif %}
31
+ {{- "Cutting Knowledge Date: December 2023\n" }}
32
+ {{- "Today Date: " + date_string + "\n\n" }}
33
+ {%- if tools is not none and not tools_in_user_message %}
34
+ {{- "You have access to the following functions. To call a function, please respond with JSON for a function call." }}
35
+ {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
36
+ {{- "Do not use variables.\n\n" }}
37
+ {%- for t in tools %}
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+ {{- t | tojson(indent=4) }}
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+ {{- "\n\n" }}
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+ {%- endfor %}
41
+ {%- endif %}
42
+ {{- system_message }}
43
+ {{- "<|eot_id|>" }}
44
+
45
+ {#- Custom tools are passed in a user message with some extra guidance #}
46
+ {%- if tools_in_user_message and not tools is none %}
47
+ {#- Extract the first user message so we can plug it in here #}
48
+ {%- if messages | length != 0 %}
49
+ {%- set first_user_message = messages[0]['content']|trim %}
50
+ {%- set messages = messages[1:] %}
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+ {%- else %}
52
+ {{- raise_exception("Cannot put tools in the first user message when there's no first user message!") }}
53
+ {%- endif %}
54
+ {{- '<|start_header_id|>user<|end_header_id|>\n\n' -}}
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+ {{- "Given the following functions, please respond with a JSON for a function call " }}
56
+ {{- "with its proper arguments that best answers the given prompt.\n\n" }}
57
+ {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
58
+ {{- "Do not use variables.\n\n" }}
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+ {%- for t in tools %}
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+ {{- t | tojson(indent=4) }}
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+ {{- "\n\n" }}
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+ {%- endfor %}
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+ {{- first_user_message + "<|eot_id|>"}}
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+ {%- endif %}
65
+
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+ {%- for message in messages %}
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+ {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}
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+ {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' }}
69
+ {%- elif 'tool_calls' in message %}
70
+ {%- if not message.tool_calls|length == 1 %}
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+ {{- raise_exception("This model only supports single tool-calls at once!") }}
72
+ {%- endif %}
73
+ {%- set tool_call = message.tool_calls[0].function %}
74
+ {%- if builtin_tools is defined and tool_call.name in builtin_tools %}
75
+ {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}}
76
+ {{- "<|python_tag|>" + tool_call.name + ".call(" }}
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+ {%- for arg_name, arg_val in tool_call.arguments | items %}
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+ {{- arg_name + '="' + arg_val + '"' }}
79
+ {%- if not loop.last %}
80
+ {{- ", " }}
81
+ {%- endif %}
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+ {%- endfor %}
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+ {{- ")" }}
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+ {%- else %}
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+ {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}}
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+ {{- '{"name": "' + tool_call.name + '", ' }}
87
+ {{- '"parameters": ' }}
88
+ {{- tool_call.arguments | tojson }}
89
+ {{- "}" }}
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+ {%- endif %}
91
+ {%- if builtin_tools is defined %}
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+ {#- This means we're in ipython mode #}
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+ {{- "<|eom_id|>" }}
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+ {%- else %}
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+ {{- "<|eot_id|>" }}
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+ {%- endif %}
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+ {%- elif message.role == "tool" or message.role == "ipython" %}
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+ {{- "<|start_header_id|>ipython<|end_header_id|>\n\n" }}
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+ {%- if message.content is mapping or message.content is iterable %}
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+ {{- message.content | tojson }}
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+ {%- else %}
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+ {{- message.content }}
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+ {%- endif %}
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+ {{- "<|eot_id|>" }}
105
+ {%- endif %}
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+ {%- endfor %}
107
+ {%- if add_generation_prompt %}
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+ {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' }}
109
+ {%- endif %}
config.json ADDED
@@ -0,0 +1,82 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "architectures": [
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+ "LlamaForCausalLM"
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+ ],
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+ "attention_bias": false,
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+ "attention_dropout": 0.0,
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+ "bos_token_id": 128000,
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+ "eos_token_id": [
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+ 128001,
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+ 128009
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+ ],
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+ "head_dim": 128,
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+ "hidden_act": "silu",
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+ "hidden_size": 16384,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 53248,
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+ "max_position_embeddings": 131072,
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+ "mlp_bias": false,
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+ "model_type": "llama",
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+ "num_attention_heads": 128,
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+ "num_hidden_layers": 126,
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+ "num_key_value_heads": 8,
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+ "pad_token_id": 128009,
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+ "pretraining_tp": 1,
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+ "quantization_config": {
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+ "config_groups": {
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+ "group_0": {
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+ "input_activations": {
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+ "actorder": null,
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+ "block_structure": null,
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+ "dynamic": true,
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+ "num_bits": 8,
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+ "observer_kwargs": {},
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+ "strategy": "token",
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+ "symmetric": true,
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+ "type": "float"
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+ "output_activations": null,
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+ "targets": [
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+ "Linear"
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+ ],
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+ "weights": {
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+ "dynamic": false,
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+ "num_bits": 8,
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+ "observer": "minmax",
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+ "observer_kwargs": {},
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+ "strategy": "channel",
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+ "symmetric": true,
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+ "type": "float"
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+ }
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+ }
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+ },
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+ "format": "float-quantized",
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+ "global_compression_ratio": null,
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+ "ignore": [
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+ "lm_head"
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+ ],
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+ "kv_cache_scheme": null,
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+ "quant_method": "compressed-tensors",
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+ "quantization_status": "compressed"
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+ },
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+ "rms_norm_eps": 1e-05,
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+ "rope_scaling": {
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+ "factor": 8.0,
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+ "high_freq_factor": 4.0,
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+ "low_freq_factor": 1.0,
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+ "original_max_position_embeddings": 8192,
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+ "rope_type": "llama3"
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+ },
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+ "rope_theta": 500000.0,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.52.3",
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+ "use_cache": false,
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+ "vocab_size": 128256
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+ }
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+ "temperature": 0.6,
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