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Model: modrill/qwen3-4b-think-baseline-full-sft Source: Original Platform
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MANIFEST.txt
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MANIFEST.txt
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name: think_baseline
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base_model: Qwen3-4B-Base
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method: full SFT (ZeRO-3)
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dataset: think_all
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template: qwen3
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epochs: 2
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seed: 42
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cutoff_len: 24576
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learning_rate: 2e-5
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train_loss: 0.6698
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train_steps: 838
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finished_at: 2026-06-08 00:22 CST
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README.md
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README.md
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---
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license: apache-2.0
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base_model: Qwen/Qwen3-4B-Base
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tags:
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- qwen3
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- code
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- sft
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- full-sft
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- think
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- llama-factory
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language:
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- en
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- zh
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library_name: transformers
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pipeline_tag: text-generation
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---
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# Qwen3-4B Code SFT - Think Baseline (Full SFT)
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Full-parameter supervised fine-tuning (not LoRA) of [Qwen/Qwen3-4B-Base](https://huggingface.co/Qwen/Qwen3-4B-Base) on the think_all dataset with thinking mode enabled.
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**This repo contains native full fine-tuned weights** (single `model.safetensors`, ~7.5 GB). For LoRA adapters merged into base weights, see [modrill/qwen3-4b-think-baseline-lora-sft](https://huggingface.co/modrill/qwen3-4b-think-baseline-lora-sft).
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## Model Details
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- **Base model:** Qwen/Qwen3-4B-Base
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- **Fine-tuning:** Full SFT (DeepSpeed ZeRO-3), finetuning_type: full
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- **Dataset:** think_all
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- **Mode:** Think (`enable_thinking=true`)
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- **Training cutoff length:** 24576 tokens
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- **Epochs:** 2
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- **Learning rate:** 2e-5
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- **Train loss:** ~0.67
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- **Finished:** 2026-06-08
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## Usage
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### HuggingFace Transformers
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model_id = "modrill/qwen3-4b-think-baseline-full-sft"
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tok = AutoTokenizer.from_pretrained(model_id, trust_remote_code=True)
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model = AutoModelForCausalLM.from_pretrained(
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model_id, trust_remote_code=True, torch_dtype="auto", device_map="auto"
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)
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```
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### vLLM
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```bash
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python -m vllm.entrypoints.openai.api_server \
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--model modrill/qwen3-4b-think-baseline-full-sft \
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--served-model-name think-baseline-full \
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--port 8801
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```
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## Inference Tips
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- Set `enable_thinking=true` in the chat template
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- Recommended `max_tokens`: 24576
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## License
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Apache 2.0, consistent with the Qwen3 base model license.
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85
chat_template.jinja
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chat_template.jinja
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{%- if tools %}
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{{- '<|im_start|>system\n' }}
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{%- if messages[0].role == 'system' %}
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{{- messages[0].content + '\n\n' }}
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{%- endif %}
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{{- "# Tools\n\nYou may call one or more functions to assist with the user query.\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 }}
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{%- endfor %}
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{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|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 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.role == "user") or (message.role == "system" and not loop.first) %}
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{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
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{%- elif message.role == "assistant" %}
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{%- set content = message.content %}
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{%- set reasoning_content = '' %}
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{%- if message.reasoning_content is defined and message.reasoning_content is not none %}
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{%- set reasoning_content = message.reasoning_content %}
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{%- else %}
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{%- if '</think>' in message.content %}
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{%- set content = message.content.split('</think>')[-1].lstrip('\n') %}
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{%- set reasoning_content = message.content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
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{%- endif %}
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{%- endif %}
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{%- if loop.index0 > ns.last_query_index %}
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{%- if loop.last or (not loop.last and 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 %}
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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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{{- '<tool_call>\n{"name": "' }}
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{{- tool_call.name }}
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{{- '", "arguments": ' }}
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{%- if tool_call.arguments is string %}
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{{- tool_call.arguments }}
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{%- else %}
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{{- tool_call.arguments | tojson }}
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{%- endif %}
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{{- '}\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.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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{{- message.content }}
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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 and enable_thinking is false %}
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{{- '<think>\n\n</think>\n\n' }}
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{%- endif %}
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{%- endif %}
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config.json
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config.json
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{
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"architectures": [
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"Qwen3ForCausalLM"
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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": null,
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"dtype": "bfloat16",
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"eos_token_id": 151645,
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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 2560,
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"initializer_range": 0.02,
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"intermediate_size": 9728,
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"layer_types": [
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention"
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],
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"max_position_embeddings": 32768,
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"max_window_layers": 36,
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"model_type": "qwen3",
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"num_attention_heads": 32,
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"num_hidden_layers": 36,
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"num_key_value_heads": 8,
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"pad_token_id": 151643,
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"rms_norm_eps": 1e-06,
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"rope_parameters": {
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"rope_theta": 1000000,
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"rope_type": "default"
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},
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"sliding_window": null,
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"tie_word_embeddings": true,
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"transformers_version": "5.6.0",
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"use_cache": false,
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"use_sliding_window": false,
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"vocab_size": 151936
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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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"do_sample": false,
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"eos_token_id": [
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151645,
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|
151643
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|
],
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"max_new_tokens": 2048,
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"pad_token_id": 151643,
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"transformers_version": "5.6.0"
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}
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model.safetensors
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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|
oid sha256:b4620375fca6edb35eef18a8b5afdc9ee6602c3315188a94eab09ebdd9346cd0
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size 8044982080
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tokenizer.json
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tokenizer.json
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version https://git-lfs.github.com/spec/v1
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||||||
|
oid sha256:be75606093db2094d7cd20f3c2f385c212750648bd6ea4fb2bf507a6a4c55506
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size 11422650
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tokenizer_config.json
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tokenizer_config.json
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{
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"add_prefix_space": false,
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"backend": "tokenizers",
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"bos_token": null,
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"clean_up_tokenization_spaces": false,
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"eos_token": "<|im_end|>",
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"errors": "replace",
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"extra_special_tokens": [
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"<|im_start|>",
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"<|im_end|>",
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"<|object_ref_start|>",
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"<|object_ref_end|>",
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"<|box_start|>",
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"<|box_end|>",
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"<|quad_start|>",
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"<|quad_end|>",
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"<|vision_start|>",
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"<|vision_end|>",
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"<|vision_pad|>",
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"<|image_pad|>",
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"<|video_pad|>"
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],
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"is_local": true,
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"local_files_only": false,
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"model_max_length": 131072,
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"pad_token": "<|endoftext|>",
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"padding_side": "right",
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"split_special_tokens": false,
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|
"tokenizer_class": "Qwen2Tokenizer",
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|
"unk_token": null
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}
|
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train_results.json
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train_results.json
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{
|
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|
"epoch": 2.0,
|
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|
"total_flos": 1548137571287040.0,
|
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|
"train_loss": 0.6697529787664481,
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|
"train_runtime": 98109.4565,
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|
"train_samples_per_second": 0.546,
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|
"train_steps_per_second": 0.009
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|
}
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168
trainer_log.jsonl
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trainer_log.jsonl
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|||||||
|
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||||||
|
{"current_steps": 780, "total_steps": 838, "loss": 0.5693378448486328, "lr": 2.5940306230612946e-07, "epoch": 1.8629911848199612, "percentage": 93.08, "elapsed_time": "1 day, 1:23:50", "remaining_time": "1:53:18"}
|
||||||
|
{"current_steps": 785, "total_steps": 838, "loss": 0.5738930702209473, "lr": 2.1745275915383668e-07, "epoch": 1.8749439713133125, "percentage": 93.68, "elapsed_time": "1 day, 1:33:25", "remaining_time": "1:43:31"}
|
||||||
|
{"current_steps": 790, "total_steps": 838, "loss": 0.5733755111694336, "lr": 1.791631725784404e-07, "epoch": 1.8868967578066638, "percentage": 94.27, "elapsed_time": "1 day, 1:43:00", "remaining_time": "1:33:45"}
|
||||||
|
{"current_steps": 795, "total_steps": 838, "loss": 0.5737156867980957, "lr": 1.4454863088532388e-07, "epoch": 1.898849544300015, "percentage": 94.87, "elapsed_time": "1 day, 1:52:35", "remaining_time": "1:23:58"}
|
||||||
|
{"current_steps": 800, "total_steps": 838, "loss": 0.5738909244537354, "lr": 1.1362208714524203e-07, "epoch": 1.9108023307933664, "percentage": 95.47, "elapsed_time": "1 day, 2:02:10", "remaining_time": "1:14:12"}
|
||||||
|
{"current_steps": 805, "total_steps": 838, "loss": 0.5715600490570069, "lr": 8.639511434716863e-08, "epoch": 1.9227551172867174, "percentage": 96.06, "elapsed_time": "1 day, 2:11:44", "remaining_time": "1:04:25"}
|
||||||
|
{"current_steps": 810, "total_steps": 838, "loss": 0.5690464973449707, "lr": 6.287790106757396e-08, "epoch": 1.9347079037800687, "percentage": 96.66, "elapsed_time": "1 day, 2:21:18", "remaining_time": "0:54:39"}
|
||||||
|
{"current_steps": 815, "total_steps": 838, "loss": 0.5704758167266846, "lr": 4.307924765777682e-08, "epoch": 1.94666069027342, "percentage": 97.26, "elapsed_time": "1 day, 2:30:52", "remaining_time": "0:44:53"}
|
||||||
|
{"current_steps": 820, "total_steps": 838, "loss": 0.5708345890045166, "lr": 2.7006562950767644e-08, "epoch": 1.958613476766771, "percentage": 97.85, "elapsed_time": "1 day, 2:40:27", "remaining_time": "0:35:07"}
|
||||||
|
{"current_steps": 825, "total_steps": 838, "loss": 0.5729907989501953, "lr": 1.4665861488761813e-08, "epoch": 1.9705662632601224, "percentage": 98.45, "elapsed_time": "1 day, 2:50:00", "remaining_time": "0:25:22"}
|
||||||
|
{"current_steps": 830, "total_steps": 838, "loss": 0.5732277870178223, "lr": 6.0617612724989114e-09, "epoch": 1.9825190497534737, "percentage": 99.05, "elapsed_time": "1 day, 2:59:35", "remaining_time": "0:15:36"}
|
||||||
|
{"current_steps": 835, "total_steps": 838, "loss": 0.5770379066467285, "lr": 1.1974820331517313e-09, "epoch": 1.994471836246825, "percentage": 99.64, "elapsed_time": "1 day, 3:09:09", "remaining_time": "0:05:51"}
|
||||||
|
{"current_steps": 838, "total_steps": 838, "epoch": 2.0, "percentage": 100.0, "elapsed_time": "1 day, 3:15:09", "remaining_time": "0:00:00"}
|
||||||
Reference in New Issue
Block a user