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Commit
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Darwin V8 v3: Qwen3.5-2B + Korean-reasoning focused (9,762) expanded data (math/code/korean)

Browse files
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README.md ADDED
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+ ---
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+ base_model: Qwen/Qwen3.5-2B
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+ library_name: peft
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+ model_name: qwen25-2b-lastbrain-v3
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+ tags:
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+ - base_model:adapter:Qwen/Qwen3.5-2B
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+ - lora
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+ - sft
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+ - transformers
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+ - trl
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+ licence: license
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+ pipeline_tag: text-generation
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+ ---
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+
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+ # Model Card for qwen25-2b-lastbrain-v3
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+
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+ This model is a fine-tuned version of [Qwen/Qwen3.5-2B](https://huggingface.co/Qwen/Qwen3.5-2B).
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+ It has been trained using [TRL](https://github.com/huggingface/trl).
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+
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+ ## Quick start
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+
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+ ```python
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+ from transformers import pipeline
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+
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+ question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
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+ generator = pipeline("text-generation", model="None", device="cuda")
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+ output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
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+ print(output["generated_text"])
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+ ```
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+
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+ ## Training procedure
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+
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+
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+
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+
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+
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+ This model was trained with SFT.
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+
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+ ### Framework versions
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+
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+ - PEFT 0.19.1
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+ - TRL: 1.2.0
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+ - Transformers: 5.5.4
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+ - Pytorch: 2.10.0
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+ - Datasets: 4.8.4
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+ - Tokenizers: 0.22.1
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+
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+ ## Citations
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+
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+
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+
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+ Cite TRL as:
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+
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+ ```bibtex
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+ @software{vonwerra2020trl,
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+ title = {{TRL: Transformers Reinforcement Learning}},
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+ author = {von Werra, Leandro and Belkada, Younes and Tunstall, Lewis and Beeching, Edward and Thrush, Tristan and Lambert, Nathan and Huang, Shengyi and Rasul, Kashif and Gallouédec, Quentin},
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+ license = {Apache-2.0},
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+ url = {https://github.com/huggingface/trl},
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+ year = {2020}
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+ }
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+ ```
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+ "peft_type": "LORA",
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+ "use_qalora": false,
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+ {%- if content is string %}
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+ {{- raise_exception('Unexpected item type in content.') }}
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+ {%- endfor %}
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+ {%- elif content is none or content is undefined %}
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+ {{- '' }}
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+ {%- else %}
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+ {{- raise_exception('Unexpected content type.') }}
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+ {%- endif %}
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+ {%- endmacro %}
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+ {%- if not messages %}
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+ {{- raise_exception('No messages provided.') }}
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+ {%- endif %}
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+ {%- for tool in tools %}
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+ {{- "\n" }}
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+ {{- tool | tojson }}
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+ {%- endfor %}
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+ {{- "\n</tools>" }}
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+ {%- if messages[0].role == 'system' %}
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+ {%- set content = render_content(messages[0].content, false, true)|trim %}
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+ {%- if content %}
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+ {{- '\n\n' + content }}
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+ {%- endif %}
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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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+ {%- set content = render_content(messages[0].content, false, true)|trim %}
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+ {{- '<|im_start|>system\n' + 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" %}
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+ {%- set content = render_content(message.content, false)|trim %}
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+ {%- if not(content.startswith('<tool_response>') and 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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+ {%- endif %}
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+ {%- endfor %}
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+ {%- if ns.multi_step_tool %}
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+ {{- raise_exception('No user query found in messages.') }}
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+ {%- endif %}
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+ {%- for message in messages %}
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+ {%- set content = render_content(message.content, true)|trim %}
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+ {%- if message.role == "system" %}
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+ {%- if not loop.first %}
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+ {{- raise_exception('System message must be at the beginning.') }}
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+ {%- endif %}
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+ {%- elif message.role == "user" %}
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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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+ {%- set reasoning_content = reasoning_content|trim %}
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+ {%- if loop.index0 > ns.last_query_index %}
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+ {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content + '\n</think>\n\n' + content }}
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+ {{- '<|im_start|>' + message.role + '\n' + content }}
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+ {%- endif %}
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+ {%- for tool_call in message.tool_calls %}
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+ {%- if tool_call.function is defined %}
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+ {%- set tool_call = tool_call.function %}
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+ {%- endif %}
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+ {%- if loop.first %}
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+ {%- if content|trim %}
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+ {{- '\n\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
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+ {%- else %}
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+ {{- '<tool_call>\n<function=' + tool_call.name + '>\n' }}
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+ {%- endif %}
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+ {%- else %}
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+ {{- '\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
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+ {%- endif %}
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+ {%- if tool_call.arguments is defined %}
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+ {%- for args_name, args_value in tool_call.arguments|items %}
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+ {{- '<parameter=' + args_name + '>\n' }}
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+ {%- set args_value = args_value | tojson | safe if args_value is mapping or (args_value is sequence and args_value is not string) else args_value | string %}
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+ {{- args_value }}
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+ {{- '\n</parameter>\n' }}
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+ {%- endfor %}
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+ {%- endif %}
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+ {{- '</function>\n</tool_call>' }}
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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.previtem and loop.previtem.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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+ {{- content }}
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+ {{- '\n</tool_response>' }}
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+ {%- if not loop.last and loop.nextitem.role != "tool" %}
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+ {{- '<|im_end|>\n' }}
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+ {%- elif loop.last %}
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+ {{- '<|im_end|>\n' }}
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+ {%- endif %}
143
+ {%- else %}
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+ {{- raise_exception('Unexpected message role.') }}
145
+ {%- endif %}
146
+ {%- endfor %}
147
+ {%- if add_generation_prompt %}
148
+ {{- '<|im_start|>assistant\n' }}
149
+ {%- if enable_thinking is defined and enable_thinking is true %}
150
+ {{- '<think>\n' }}
151
+ {%- else %}
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+ {{- '<think>\n\n</think>\n\n' }}
153
+ {%- endif %}
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+ {%- endif %}
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+ ---
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+ base_model: Qwen/Qwen3.5-2B
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+ library_name: peft
4
+ pipeline_tag: text-generation
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+ tags:
6
+ - base_model:adapter:Qwen/Qwen3.5-2B
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+ - lora
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+ - sft
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+ - transformers
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+ - trl
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+ ---
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+
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+ # Model Card for Model ID
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+
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+ <!-- Provide a quick summary of what the model is/does. -->
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+
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+
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+
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+ ## Model Details
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+
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+ ### Model Description
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+
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+ <!-- Provide a longer summary of what this model is. -->
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+
25
+
26
+
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+ - **Developed by:** [More Information Needed]
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+ - **Funded by [optional]:** [More Information Needed]
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+ - **Shared by [optional]:** [More Information Needed]
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+ - **Model type:** [More Information Needed]
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+ - **Language(s) (NLP):** [More Information Needed]
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+ - **License:** [More Information Needed]
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+ - **Finetuned from model [optional]:** [More Information Needed]
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+
35
+ ### Model Sources [optional]
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+
37
+ <!-- Provide the basic links for the model. -->
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+
39
+ - **Repository:** [More Information Needed]
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+ - **Paper [optional]:** [More Information Needed]
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+ - **Demo [optional]:** [More Information Needed]
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+
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+ ## Uses
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+
45
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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+
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+ ### Direct Use
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+
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+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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+
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+ [More Information Needed]
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+
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+ ### Downstream Use [optional]
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+
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+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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+
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+ [More Information Needed]
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+
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+ ### Out-of-Scope Use
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+
61
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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+
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+ [More Information Needed]
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+
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+ ## Bias, Risks, and Limitations
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+
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+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
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+
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+ [More Information Needed]
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+
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+ ### Recommendations
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+
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+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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+
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+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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+
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+ ## How to Get Started with the Model
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+
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+ Use the code below to get started with the model.
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+
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+ [More Information Needed]
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+
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+ ## Training Details
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+
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+ ### Training Data
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+
87
+ <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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+
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+ [More Information Needed]
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+
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+ ### Training Procedure
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+
93
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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+
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+ #### Preprocessing [optional]
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+
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+ [More Information Needed]
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+
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+
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+ #### Training Hyperparameters
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+
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+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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+
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+ #### Speeds, Sizes, Times [optional]
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+
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+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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+
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+ [More Information Needed]
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+
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+ ## Evaluation
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+
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+ <!-- This section describes the evaluation protocols and provides the results. -->
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+
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+ ### Testing Data, Factors & Metrics
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+
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+ #### Testing Data
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+
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+ <!-- This should link to a Dataset Card if possible. -->
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+
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+ [More Information Needed]
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+
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+ #### Factors
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+
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+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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+
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+ [More Information Needed]
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+
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+ #### Metrics
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+
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+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
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+
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+ [More Information Needed]
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+
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+ ### Results
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+
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+ [More Information Needed]
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+
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+ #### Summary
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+
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+
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+
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+ ## Model Examination [optional]
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+
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+ <!-- Relevant interpretability work for the model goes here -->
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+
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+ [More Information Needed]
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+
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+ ## Environmental Impact
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+
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+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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+
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+ Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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+
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+ - **Hardware Type:** [More Information Needed]
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+ - **Hours used:** [More Information Needed]
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+ - **Cloud Provider:** [More Information Needed]
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+ - **Compute Region:** [More Information Needed]
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+ - **Carbon Emitted:** [More Information Needed]
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+
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+ ## Technical Specifications [optional]
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+
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+ ### Model Architecture and Objective
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+
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+ [More Information Needed]
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+
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+ ### Compute Infrastructure
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+
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+ [More Information Needed]
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+
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+ #### Hardware
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+
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+ [More Information Needed]
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+
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+ #### Software
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+
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+ [More Information Needed]
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+
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+ ## Citation [optional]
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+
180
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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+
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+ **BibTeX:**
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+
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+ [More Information Needed]
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+
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+ **APA:**
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+
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+ [More Information Needed]
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+
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+ ## Glossary [optional]
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+
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+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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+
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+ [More Information Needed]
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+
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+ ## More Information [optional]
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+
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+ [More Information Needed]
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+
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+ ## Model Card Authors [optional]
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+
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+ [More Information Needed]
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+
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+ ## Model Card Contact
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+
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+ [More Information Needed]
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+ ### Framework versions
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+
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+ - PEFT 0.19.1
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+ {%- set image_count = namespace(value=0) %}
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+ {%- set video_count = namespace(value=0) %}
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+ {%- macro render_content(content, do_vision_count, is_system_content=false) %}
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+ {%- if content is string %}
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+ {{- content }}
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+ {%- elif content is iterable and content is not mapping %}
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+ {%- if 'image' in item or 'image_url' in item or item.type == 'image' %}
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+ {%- if is_system_content %}
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+ {{- raise_exception('System message cannot contain images.') }}
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+ {%- endif %}
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+ {%- if do_vision_count %}
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+ {%- set image_count.value = image_count.value + 1 %}
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+ {%- endif %}
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+ {%- if add_vision_id %}
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+ {{- 'Picture ' ~ image_count.value ~ ': ' }}
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+ {%- endif %}
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+ {{- '<|vision_start|><|image_pad|><|vision_end|>' }}
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+ {%- elif 'video' in item or item.type == 'video' %}
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+ {%- if is_system_content %}
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+ {{- raise_exception('System message cannot contain videos.') }}
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+ {%- endif %}
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+ {%- if do_vision_count %}
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+ {%- set video_count.value = video_count.value + 1 %}
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+ {%- endif %}
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+ {%- if add_vision_id %}
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+ {{- 'Video ' ~ video_count.value ~ ': ' }}
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+ {%- endif %}
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+ {{- '<|vision_start|><|video_pad|><|vision_end|>' }}
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+ {%- elif 'text' in item %}
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+ {%- else %}
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+ {{- tool | tojson }}
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+ {{- args_value }}
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+ {{- '\n</parameter>\n' }}
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+ {{- '<think>\n' }}
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