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Model: shb777/Llama-3.3-8B-Instruct-128K Source: Original Platform
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README.md
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README.md
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---
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license: llama3.3
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base_model:
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- allura-forge/Llama-3.3-8B-Instruct
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pipeline_tag: text-generation
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model-index:
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- name: shb777/Llama-3.3-8B-Instruct-128K
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results:
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- task:
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type: text-generation
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dataset:
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name: BBH
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type: leaderboard
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metrics:
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- type: accuracy
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value: 54.1
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name: acc_norm
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- task:
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type: text-generation
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dataset:
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name: GPQA
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type: leaderboard
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metrics:
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- type: accuracy
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value: 29.9
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name: acc_norm
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- task:
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type: text-generation
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dataset:
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name: MMLU Pro
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type: leaderboard
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metrics:
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- type: accuracy
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value: 38.0
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name: acc
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- task:
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type: text-generation
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dataset:
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name: MuSR
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type: leaderboard
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metrics:
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- type: accuracy
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value: 37.8
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name: acc_norm
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- task:
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type: text-generation
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dataset:
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name: IFEval
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type: leaderboard
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metrics:
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- type: accuracy
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value: 85.2
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name: avg(prompt_strict + inst_strict)
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- task:
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type: text-generation
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dataset:
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name: MATH Hard
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type: leaderboard
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metrics:
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- type: accuracy
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value: 27.3
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name: exact_match
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---
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# Llama 3.3 8B 128K Instruct (Fixed)
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> [!IMPORTANT]
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> Original [allura-forge/Llama-3.3-8B-Instruct](https://huggingface.co/allura-forge/Llama-3.3-8B-Instruct), Thanks!
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> [!TIP]
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> [imatrix GGUF's by mradermacher (Recommended)](https://huggingface.co/mradermacher/Llama-3.3-8B-Instruct-128K-i1-GGUF)
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>
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> [static GGUF's](https://huggingface.co/shb777/Llama-3.3-8B-Instruct-128K-GGUF)
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>
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> [Evals](https://huggingface.co/datasets/shb777/Llama-3.3-8B-Instruct-128K-Evals)
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Additional Fixes:
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- Added `rope_scaling`
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- Added chat template (Unsloth) in tokenizer config
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- Updated generation config
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- Enabled full context length
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105
chat_template.jinja
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chat_template.jinja
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{{- bos_token }}
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{%- if custom_tools is defined %}
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{%- set tools = custom_tools %}
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{%- endif %}
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{%- if not tools_in_user_message is defined %}
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{%- set tools_in_user_message = true %}
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{%- endif %}
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{%- if not date_string is defined %}
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{%- set date_string = "30 Dec 2025" %}
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{%- endif %}
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{%- if not tools is defined %}
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{%- set tools = none %}
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{%- endif %}
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{#- This block extracts the system message, so we can slot it into the right place. #}
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{%- if messages[0]['role'] == 'system' %}
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{%- set system_message = messages[0]['content']|trim %}
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{%- set messages = messages[1:] %}
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{%- else %}
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{%- set system_message = "" %}
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{%- endif %}
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{#- System message + builtin tools #}
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{{- "<|start_header_id|>system<|end_header_id|>\n\n" }}
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{%- if builtin_tools is defined or tools is not none %}
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{{- "Environment: ipython\n" }}
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{%- endif %}
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{%- if builtin_tools is defined %}
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{{- "Tools: " + builtin_tools | reject('equalto', 'code_interpreter') | join(", ") + "\n\n"}}
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{%- endif %}
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{{- "Cutting Knowledge Date: December 2023\n" }}
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{{- "Today Date: " + date_string + "\n\n" }}
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{%- if tools is not none and not tools_in_user_message %}
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{{- "You have access to the following functions. To call a function, please respond with JSON for a function call." }}
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{{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
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{{- "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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{%- endif %}
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{{- system_message }}
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{{- "<|eot_id|>" }}
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{#- Custom tools are passed in a user message with some extra guidance #}
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{%- if tools_in_user_message and not tools is none %}
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{#- Extract the first user message so we can plug it in here #}
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{%- if messages | length != 0 %}
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{%- set first_user_message = messages[0]['content']|trim %}
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{%- set messages = messages[1:] %}
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{%- else %}
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{{- raise_exception("Cannot put tools in the first user message when there's no first user message!") }}
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{%- endif %}
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{{- '<|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 " }}
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{{- "with its proper arguments that best answers the given prompt.\n\n" }}
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{{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
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{{- "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 %}
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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|>' }}
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{%- elif 'tool_calls' in message %}
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{%- if not message.tool_calls|length == 1 %}
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{{- raise_exception("This model only supports single tool-calls at once!") }}
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{%- endif %}
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{%- set tool_call = message.tool_calls[0].function %}
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{%- if builtin_tools is defined and tool_call.name in builtin_tools %}
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{{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}}
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{{- "<|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 + '"' }}
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{%- if not loop.last %}
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{{- ", " }}
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{%- 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 + '", ' }}
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{{- '"parameters": ' }}
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{{- tool_call.arguments | tojson }}
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{{- "}" }}
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{%- endif %}
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{%- 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|>" }}
|
||||
{%- endif %}
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{%- endfor %}
|
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{%- if add_generation_prompt %}
|
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{{- '<|start_header_id|>assistant<|end_header_id|>\n\n' }}
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{%- endif %}
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35
config.json
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config.json
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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,
|
||||
"dtype": "bfloat16",
|
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"eos_token_id": 128009,
|
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"head_dim": 128,
|
||||
"hidden_act": "silu",
|
||||
"hidden_size": 4096,
|
||||
"initializer_range": 0.02,
|
||||
"intermediate_size": 14336,
|
||||
"max_position_embeddings": 131072,
|
||||
"mlp_bias": false,
|
||||
"model_type": "llama",
|
||||
"num_attention_heads": 32,
|
||||
"num_hidden_layers": 32,
|
||||
"num_key_value_heads": 8,
|
||||
"pretraining_tp": 1,
|
||||
"rms_norm_eps": 1e-05,
|
||||
"rope_scaling": {
|
||||
"factor": 8.0,
|
||||
"low_freq_factor": 1.0,
|
||||
"high_freq_factor": 4.0,
|
||||
"original_max_position_embeddings": 8192,
|
||||
"rope_type": "llama3"
|
||||
},
|
||||
"rope_theta": 500000.0,
|
||||
"tie_word_embeddings": false,
|
||||
"transformers_version": "4.57.3",
|
||||
"use_cache": true,
|
||||
"vocab_size": 128256
|
||||
}
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13
generation_config.json
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generation_config.json
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{
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"bos_token_id": 128000,
|
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"do_sample": true,
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"eos_token_id": [
|
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128001,
|
||||
128008,
|
||||
128009
|
||||
],
|
||||
"max_length": 131072,
|
||||
"temperature": 0.6,
|
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"top_p": 0.9,
|
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"transformers_version": "4.57.3"
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}
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16
special_tokens_map.json
Normal file
16
special_tokens_map.json
Normal file
@@ -0,0 +1,16 @@
|
||||
{
|
||||
"bos_token": {
|
||||
"content": "<|begin_of_text|>",
|
||||
"lstrip": false,
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||||
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|
||||
},
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"eos_token": {
|
||||
"content": "<|eot_id|>",
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||||
"rstrip": false,
|
||||
"single_word": false
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||||
}
|
||||
}
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||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:e134af98b985517b4f068e3755ae90d4e9cd2d45d328325dc503f1c6b2d06cc7
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||||
size 9085698
|
||||
2063
tokenizer_config.json
Normal file
2063
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user