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Model: build-small-hackathon/compliment-forest-minicpm5-1b Source: Original Platform
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gguf/compliment-forest-minicpm5-1b.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
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README.md
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README.md
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---
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base_model: openbmb/MiniCPM5-1B
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library_name: transformers
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license: apache-2.0
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language:
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- en
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pipeline_tag: text-generation
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tags:
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- minicpm
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- openbmb
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- qlora
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- llama.cpp
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- structured-generation
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- build-small-hackathon
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datasets:
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- build-small-hackathon/compliment-forest-sft
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---
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# Compliment Forest MiniCPM5-1B
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This is the merged text fine-tune for
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[The Compliment Forest](https://huggingface.co/spaces/build-small-hackathon/compliment-forest).
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It turns a name and situation into schema-valid, situation-grounded forest JSON for the app's
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author pass. The same model also runs a bounded critic pass that prunes generic or redundant
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clearings.
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## Training
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- Base: `openbmb/MiniCPM5-1B` (Llama architecture, about 1.08B parameters)
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- Data: `build-small-hackathon/compliment-forest-sft`
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- Method: 4-bit NF4 QLoRA on Modal
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- LoRA: rank 16, alpha 32, dropout 0.05
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- Targets: attention and MLP projections
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- Sequence length: 2,048
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- Epochs: 2
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- Learning rate: 2e-4 with cosine decay
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- Runtime thinking mode: disabled for deterministic JSON generation
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The dataset was filtered for JSON validity, concrete situation grounding, non-toxic positivity,
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and short first-person spells. This model is for whimsical encouragement; it is not a therapist
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or a substitute for professional support.
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## Inference
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Use the base model's chat template with `enable_thinking=False`. The app enforces the output with
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Pydantic and retries malformed generations at most twice.
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The repository also includes a `Q4_K_M` GGUF build for local `llama.cpp` inference.
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## License
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Apache-2.0, following the base model and project code. Dataset source licenses are documented on
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the dataset card.
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179
chat_template.jinja
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chat_template.jinja
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{{- bos_token }}{%- if tools %}
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{%- set tool_definitions %}
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{{- "# Tools\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
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{%- for tool in tools %}
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{{- "\n" }}
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{{- tool | tojson(ensure_ascii=False) }}
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{%- endfor %}
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{{- '\n</tools>\n\nTool usage guidelines:\n- You may call zero or more functions. If no function calls are needed, just answer normally and do not include any <function ... </function>.\n- When calling a function, return an XML object within <function ... </function> using:\n<function name="function-name"><param name="param-name">param-value</param></function>\n- param-value may be multi-line. If it contains <, & or newline characters, wrap it in a CDATA block: <param name="param-name"><![CDATA[...multi-line value...]]></param>' }}
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{%- endset %}
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{{- '<|im_start|>system\n' }}
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{%- if messages[0].role == 'system' %}
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{%- if '<tool_def_sep>' in messages[0].content %}
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{{- messages[0].content.replace('<tool_def_sep>', tool_definitions) }}
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{%- else %}
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{{- messages[0].content + '\n\n' + tool_definitions }}
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{%- endif %}
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{%- else %}
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{{- tool_definitions.lstrip() }}
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{%- endif %}
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{{- '<|im_end|>\n' }}
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{%- else %}
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{%- if messages[0].role == 'system' %}
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{{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
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{%- for message in messages[::-1] %}
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{%- set index = (messages|length - 1) - loop.index0 %}
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{%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
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{%- set ns.multi_step_tool = false %}
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{%- set ns.last_query_index = index %}
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{%- endif %}
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{%- endfor %}
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{%- for message in messages %}
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{%- if message.content is string %}
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{%- set content = message.content %}
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{%- else %}
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{%- set content = '' %}
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{%- endif %}
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{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
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{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
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{%- elif message.role == "assistant" %}
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{%- set reasoning_content = '' %}
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{%- if message.reasoning_content is string %}
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{%- set reasoning_content = message.reasoning_content %}
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{%- else %}
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{%- if '</think>' in content %}
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{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
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{%- set content = content.split('</think>')[-1].lstrip('\n') %}
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{%- endif %}
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{%- endif %}
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{%- if message.tool_calls %}
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{%- set content_parts = content.split('<tool_sep>') %}
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{%- set processed_content = content_parts[0] %}
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{%- set tool_calls_count = message.tool_calls|length %}
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{%- set tool_sep_count = content_parts|length - 1 %}
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{%- set min_count = [tool_calls_count, tool_sep_count]|min %}
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{%- for i in range(1, content_parts|length) %}
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{%- set tool_index = i - 1 %}
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{%- if tool_index < tool_calls_count %}
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{%- set tool_call = message.tool_calls[tool_index] %}
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{%- if tool_call.function %}
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{%- set tool_call = tool_call.function %}
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{%- endif %}
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{%- set single_tool_xml %}
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{{- '<function name="' ~ tool_call.name ~ '">' }}
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{%- if tool_call.arguments %}
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{%- set args_dict = tool_call.arguments %}
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{%- for param_name, param_value in args_dict.items() %}
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{{- '<param name="' ~ param_name ~ '">' }}
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{%- if param_value is string and ('<' in param_value or '&' in param_value or '\n' in param_value) %}
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{{- '<![CDATA[' + param_value + ']]>' }}
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{%- else %}
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{{- param_value }}
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{%- endif %}
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{{- '</param>' }}
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{%- endfor %}
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{%- endif %}
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{{- '</function>' }}
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{%- endset %}
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{%- set processed_content = processed_content + single_tool_xml + content_parts[i] %}
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{%- else %}
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{%- set processed_content = processed_content + content_parts[i] %}
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{%- endif %}
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{%- endfor %}
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{%- if tool_calls_count > tool_sep_count %}
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{%- for remaining_index in range(tool_sep_count, tool_calls_count) %}
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{%- set tool_call = message.tool_calls[remaining_index] %}
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{%- if tool_call.function %}
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{%- set tool_call = tool_call.function %}
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{%- endif %}
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{%- set remaining_tool_xml %}
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{{- '<function name="' ~ tool_call.name ~ '">' }}
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{%- if tool_call.arguments %}
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{%- set args_dict = tool_call.arguments %}
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{%- for param_name, param_value in args_dict.items() %}
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{{- '<param name="' ~ param_name ~ '">' }}
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{%- if param_value is string and ('<' in param_value or '&' in param_value or '\n' in param_value) %}
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{{- '<![CDATA[' + param_value + ']]>' }}
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{%- else %}
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{{- param_value }}
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{%- endif %}
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{{- '</param>' }}
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{%- endfor %}
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{%- endif %}
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{{- '</function>' }}
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{%- endset %}
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{%- set processed_content = processed_content + remaining_tool_xml %}
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{%- endfor %}
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{%- endif %}
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{%- set content = processed_content %}
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{%- endif %}
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{%- if loop.index0 > ns.last_query_index %}
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{%- if reasoning_content %}
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{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
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{%- else %}
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{{- '<|im_start|>' + message.role + '\n' + content }}
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{%- endif %}
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{%- else %}
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{{- '<|im_start|>' + message.role + '\n' + content }}
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{%- endif %}
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{%- if message.tool_calls and not has_tool_sep %}
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{%- for tool_call in message.tool_calls %}
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{%- if (loop.first and content) or (not loop.first) %}
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{{- '\n' }}
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{%- endif %}
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{%- if tool_call.function %}
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{%- set tool_call = tool_call.function %}
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{%- endif %}
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{{- '<function name="' ~ tool_call.name ~ '">' }}
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{%- if tool_call.arguments %}
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{%- set args_dict = tool_call.arguments %}
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{%- for param_name, param_value in args_dict.items() %}
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{{- '<param name="' ~ param_name ~ '">' }}
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{%- if param_value is string and ('<' in param_value or '&' in param_value or '\n' in param_value) %}
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{{- '<![CDATA[' + param_value + ']]>' }}
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{%- else %}
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{{- param_value }}
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{%- endif %}
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{{- '</param>' }}
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{%- endfor %}
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{%- endif %}
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{{- '</function>' }}
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{%- endfor %}
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{%- endif %}
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{{- '<|im_end|>\n' }}
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{%- elif message.role == "tool" %}
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{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
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{{- '<|im_start|>user' }}
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{%- endif %}
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{{- '\n<tool_response>\n' }}
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{%- if message.content is string %}
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{{- content }}
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{%- else %}
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{{- message.content | tojson(ensure_ascii=False) }}
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{%- endif %}
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{{- '\n</tool_response>' }}
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{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
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{{- '<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- endfor %}
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{%- if add_generation_prompt %}
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{{- '<|im_start|>assistant\n' }}
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{%- if enable_thinking is defined %}
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{%- if enable_thinking is false %}
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{{- '<think>\n\n</think>\n\n' }}
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{%- elif enable_thinking is true %}
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{{- '<think>\n' }}
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{%- endif %}
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{%- endif %}
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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": 0,
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"dtype": "bfloat16",
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"eos_token_id": [
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1,
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130073
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],
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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 1536,
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"initializer_range": 0.02,
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"intermediate_size": 4608,
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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": 16,
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"num_hidden_layers": 24,
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"num_key_value_heads": 2,
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"pad_token_id": 1,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-06,
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"rope_parameters": {
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"rope_theta": 5000000,
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"rope_type": "default"
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},
|
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"tie_word_embeddings": false,
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"transformers_version": "5.10.2",
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"use_cache": true,
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"vocab_size": 130560
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}
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generation_config.json
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generation_config.json
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{
|
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"_from_model_config": true,
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"bos_token_id": 0,
|
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"do_sample": true,
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"eos_token_id": [
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1,
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|
130073
|
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|
],
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"pad_token_id": 1,
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|
"temperature": 0.9,
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"top_p": 0.95,
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||||||
|
"transformers_version": "5.10.2"
|
||||||
|
}
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gguf/compliment-forest-minicpm5-1b.Q4_K_M.gguf
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gguf/compliment-forest-minicpm5-1b.Q4_K_M.gguf
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version https://git-lfs.github.com/spec/v1
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|
oid sha256:d28456cce33489f67394fcd6e379d1e0ebc867405a577a802b48aa1b2a46e63f
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|
size 688066656
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model.safetensors
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model.safetensors
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version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:adba874c220f52c02281db3c87c43f5c68fd8ab4833491a110e4edc439d0373e
|
||||||
|
size 2161290944
|
||||||
30
special_tokens_map.json
Normal file
30
special_tokens_map.json
Normal file
@@ -0,0 +1,30 @@
|
|||||||
|
{
|
||||||
|
"bos_token": {
|
||||||
|
"content": "<s>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false
|
||||||
|
},
|
||||||
|
"eos_token": {
|
||||||
|
"content": "</s>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false
|
||||||
|
},
|
||||||
|
"pad_token": {
|
||||||
|
"content": "</s>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false
|
||||||
|
},
|
||||||
|
"unk_token": {
|
||||||
|
"content": "<unk>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false
|
||||||
|
}
|
||||||
|
}
|
||||||
653947
tokenizer.json
Normal file
653947
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
4099
tokenizer_config.json
Normal file
4099
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user