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Model: flavianv/deepoutfit-qwen17b-sft-dpo Source: Original Platform
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152
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/Qwen3-1.7B
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library_name: transformers
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pipeline_tag: text-generation
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tags:
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- qwen3
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- text-generation
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- tool-use
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- recommendation
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- fashion
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- sft
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- dpo
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language:
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- en
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---
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# DeepOutfit Qwen1.7B SFT+DPO
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This is an experimental full-weight fine-tune of
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[`Qwen/Qwen3-1.7B`](https://huggingface.co/Qwen/Qwen3-1.7B) for JSON-action
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outfit recommendation traces. It is intended for research on catalog-grounded
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fashion/outfit agents that search a product catalog, select five products, and
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produce a structured final outfit report.
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The model is not a general-purpose shopping assistant by itself. The expected
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deployment path is an external tool loop with product-search results and a
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validator/scorer around the final JSON report.
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## Training
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Base model:
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- `Qwen/Qwen3-1.7B`
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Supervised fine-tuning stage:
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- Data: filtered JSON-action outfit rollouts.
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- Selection rule used by the local pipeline: score four rollouts per outfit
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query, select the top rollout per query when its score is greater than 60,
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then export selected raw traces for SFT.
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- Max length: 16,384.
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- Epochs: 3.
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- Learning rate: `2e-5`.
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- Per-device train batch size: 1.
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- Gradient accumulation steps: 16.
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- Assistant-only loss: enabled.
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- Full fine-tune, not LoRA.
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DPO stage:
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- Starting checkpoint: the outfit SFT model.
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- Data: `100` outfit preference-query training rows and `50` validation rows
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in the local DeepOutfit pipeline.
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- Max length: 8,192.
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- Epochs: 1.
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- Learning rate: `5e-7`.
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- DPO beta: `0.1`.
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- Per-device train batch size: 1.
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- Gradient accumulation steps: 8.
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- Full fine-tune, not LoRA.
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Uploaded source directory:
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`outputs/models/qwen3-1.7b-json-action-outfit-sft-dpo-100q-cont1_20260527_230029`
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## Evaluation
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Evaluation was run with the local `batch_eval_outfit_models.py` harness on
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50 OUTFIT500 queries, one low-temperature rollout per query. Outfit quality was
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scored by GPT-4.1 judge. The comparison included Qwen zero-shot, this SFT+DPO
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checkpoint, and a later GRPO/RL checkpoint.
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| Model | Rows | Overall | Generalization | Entropy | Efficiency | Correctness | Quality | >=70 Quality | Missing Report | Broken Report | Tokens Median | Calls Median | Rollouts/min |
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|---|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|
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| Qwen3-1.7B zero-shot | 50 | 57.03 | 100 | 0.0416 | 69.38 | 84.8 | 29.93 | 0% | 2% | 22% | 3,632 | 1 | 10.72 |
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| DeepOutfit SFT+DPO | 50 | 55.36 | 90 | 0.0650 | 39.71 | 82.0 | 41.58 | 8% | 0% | 30% | 11,240 | 5 | 8.21 |
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| DeepOutfit GRPO/RL checkpoint | 50 | 56.69 | 90 | 0.0641 | 40.79 | 88.4 | 39.10 | 6% | 2% | 16% | 11,280 | 5 | 7.05 |
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Judge breakdown for this SFT+DPO checkpoint:
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| Metric | Value |
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|---|---:|
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| Judged rows | 50 |
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| Judge score > 70 | 4 / 50 |
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| Mean judge score | 41.58 |
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| Max judge score | 94.27 |
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| Min judge score | 21.60 |
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| Best average judge submetric | validity gate, 94.0 / 100 |
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| Worst average judge submetric | explanation average, 40.8 / 100 |
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| Highest failure flag | impractical to wear, 88% |
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Generalization probes:
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| Probe | Result |
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|---|---:|
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| Easy math | 8 / 10 |
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| JSON formatting | 2 / 2 |
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| Factual QA | 2 / 2 |
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| Exact string following | 2 / 2 |
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| Simple code-output QA | 2 / 2 |
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Interpretation: compared with zero-shot Qwen3-1.7B, this checkpoint improves
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GPT-4.1 judged outfit quality, but uses more search/tool calls and more tokens.
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The dominant remaining failure mode is outfit practicality.
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## Usage
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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repo_id = "flavianv/deepoutfit-qwen17b-sft-dpo"
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tokenizer = AutoTokenizer.from_pretrained(repo_id)
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model = AutoModelForCausalLM.from_pretrained(
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repo_id,
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torch_dtype="auto",
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device_map="auto",
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)
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messages = [
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{
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"role": "user",
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"content": "Find a men's backyard BBQ host outfit that is casual, practical, and intentional.",
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}
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]
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text = tokenizer.apply_chat_template(
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messages,
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tokenize=False,
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add_generation_prompt=True,
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)
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inputs = tokenizer(text, return_tensors="pt").to(model.device)
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outputs = model.generate(**inputs, max_new_tokens=1024, temperature=0.2, top_p=0.9)
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print(tokenizer.decode(outputs[0], skip_special_tokens=True))
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```
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For the intended JSON-action setting, use the same tool schema and validation
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loop as the training/evaluation harness. Standalone generations may reference
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products or tool actions that are only meaningful when connected to the product
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search tool.
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## Limitations
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- Experimental research checkpoint, not production validated.
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- Optimized for outfit/product-report behavior, not broad assistant quality.
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- Can produce incomplete, impractical, or unsupported product combinations.
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- Product IDs and search behavior depend on the external catalog/tool harness.
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- Easy-math probing shows some drift versus the zero-shot base model.
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## License
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|
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This checkpoint is released under Apache 2.0, matching the base
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`Qwen/Qwen3-1.7B` license metadata.
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28
added_tokens.json
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added_tokens.json
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{
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"</think>": 151668,
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"</tool_call>": 151658,
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"</tool_response>": 151666,
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"<think>": 151667,
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"<tool_call>": 151657,
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"<tool_response>": 151665,
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"<|box_end|>": 151649,
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"<|box_start|>": 151648,
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"<|endoftext|>": 151643,
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"<|file_sep|>": 151664,
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"<|fim_middle|>": 151660,
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"<|fim_pad|>": 151662,
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"<|fim_prefix|>": 151659,
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"<|fim_suffix|>": 151661,
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"<|im_end|>": 151645,
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"<|im_start|>": 151644,
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"<|image_pad|>": 151655,
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"<|object_ref_end|>": 151647,
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"<|object_ref_start|>": 151646,
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"<|quad_end|>": 151651,
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"<|quad_start|>": 151650,
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"<|repo_name|>": 151663,
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"<|video_pad|>": 151656,
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"<|vision_end|>": 151653,
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"<|vision_pad|>": 151654,
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"<|vision_start|>": 151652
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}
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93
chat_template.jinja
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chat_template.jinja
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{# {% generation %} {% endgeneration %} #}
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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 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 = '' %}
|
||||
{%- if message.reasoning_content is string %}
|
||||
{%- set reasoning_content = message.reasoning_content %}
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||||
{%- else %}
|
||||
{%- if '</think>' in content %}
|
||||
{%- 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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||||
{{- '<|im_start|>' + message.role + '\n' }}
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||||
{%- generation %}
|
||||
{%- 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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{{- '<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
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||||
{%- else %}
|
||||
{{- content }}
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||||
{%- endif %}
|
||||
{%- else %}
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||||
{{- content }}
|
||||
{%- endif %}
|
||||
{%- 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) %}
|
||||
{{- '\n' }}
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||||
{%- endif %}
|
||||
{%- if tool_call.function %}
|
||||
{%- set tool_call = tool_call.function %}
|
||||
{%- endif %}
|
||||
{{- '<tool_call>\n{"name": "' }}
|
||||
{{- tool_call.name }}
|
||||
{{- '", "arguments": ' }}
|
||||
{%- if tool_call.arguments is string %}
|
||||
{{- tool_call.arguments }}
|
||||
{%- else %}
|
||||
{{- tool_call.arguments | tojson }}
|
||||
{%- endif %}
|
||||
{{- '}\n</tool_call>' }}
|
||||
{%- endfor %}
|
||||
{%- endif %}
|
||||
{{- '<|im_end|>\n' }}
|
||||
{%- endgeneration %}
|
||||
{%- elif message.role == "tool" %}
|
||||
{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
|
||||
{{- '<|im_start|>user' }}
|
||||
{%- endif %}
|
||||
{{- '\n<tool_response>\n' }}
|
||||
{{- content }}
|
||||
{{- '\n</tool_response>' }}
|
||||
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
||||
{{- '<|im_end|>\n' }}
|
||||
{%- endif %}
|
||||
{%- endif %}
|
||||
{%- endfor %}
|
||||
{%- if add_generation_prompt %}
|
||||
{{- '<|im_start|>assistant\n' }}
|
||||
{%- if enable_thinking is defined and enable_thinking is false %}
|
||||
{{- '<think>\n\n</think>\n\n' }}
|
||||
{%- endif %}
|
||||
{%- endif %}
|
||||
60
config.json
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config.json
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{
|
||||
"architectures": [
|
||||
"Qwen3ForCausalLM"
|
||||
],
|
||||
"attention_bias": false,
|
||||
"attention_dropout": 0.0,
|
||||
"dtype": "bfloat16",
|
||||
"eos_token_id": 151645,
|
||||
"head_dim": 128,
|
||||
"hidden_act": "silu",
|
||||
"hidden_size": 2048,
|
||||
"initializer_range": 0.02,
|
||||
"intermediate_size": 6144,
|
||||
"layer_types": [
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention"
|
||||
],
|
||||
"max_position_embeddings": 40960,
|
||||
"max_window_layers": 28,
|
||||
"model_type": "qwen3",
|
||||
"num_attention_heads": 16,
|
||||
"num_hidden_layers": 28,
|
||||
"num_key_value_heads": 8,
|
||||
"pad_token_id": 151643,
|
||||
"rms_norm_eps": 1e-06,
|
||||
"rope_scaling": null,
|
||||
"rope_theta": 1000000,
|
||||
"sliding_window": null,
|
||||
"tie_word_embeddings": true,
|
||||
"transformers_version": "4.57.6",
|
||||
"use_cache": true,
|
||||
"use_sliding_window": false,
|
||||
"vocab_size": 151936
|
||||
}
|
||||
12
generation_config.json
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generation_config.json
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|
||||
{
|
||||
"do_sample": true,
|
||||
"eos_token_id": [
|
||||
151645,
|
||||
151643
|
||||
],
|
||||
"pad_token_id": 151643,
|
||||
"temperature": 0.6,
|
||||
"top_k": 20,
|
||||
"top_p": 0.95,
|
||||
"transformers_version": "4.57.6"
|
||||
}
|
||||
151388
merges.txt
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151388
merges.txt
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Load Diff
3
model.safetensors
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3
model.safetensors
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|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:31eceda0bce73f9e3826709180374c66f97cc80517b442c9c2ae60d80c22b1dd
|
||||
size 3441185608
|
||||
31
special_tokens_map.json
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special_tokens_map.json
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|
||||
{
|
||||
"additional_special_tokens": [
|
||||
"<|im_start|>",
|
||||
"<|im_end|>",
|
||||
"<|object_ref_start|>",
|
||||
"<|object_ref_end|>",
|
||||
"<|box_start|>",
|
||||
"<|box_end|>",
|
||||
"<|quad_start|>",
|
||||
"<|quad_end|>",
|
||||
"<|vision_start|>",
|
||||
"<|vision_end|>",
|
||||
"<|vision_pad|>",
|
||||
"<|image_pad|>",
|
||||
"<|video_pad|>"
|
||||
],
|
||||
"eos_token": {
|
||||
"content": "<|im_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
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|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
BIN
tokenizer.json
(Stored with Git LFS)
Normal file
BIN
tokenizer.json
(Stored with Git LFS)
Normal file
Binary file not shown.
240
tokenizer_config.json
Normal file
240
tokenizer_config.json
Normal file
@@ -0,0 +1,240 @@
|
||||
{
|
||||
"add_bos_token": false,
|
||||
"add_prefix_space": false,
|
||||
"added_tokens_decoder": {
|
||||
"151643": {
|
||||
"content": "<|endoftext|>",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"special": true
|
||||
},
|
||||
"151644": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"special": true
|
||||
},
|
||||
"151645": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"special": true
|
||||
},
|
||||
"151653": {
|
||||
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|
||||
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|
||||
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|
||||
"rstrip": false,
|
||||
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|
||||
"special": true
|
||||
},
|
||||
"151654": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"special": true
|
||||
},
|
||||
"151657": {
|
||||
"content": "<tool_call>",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
"151658": {
|
||||
"content": "</tool_call>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151659": {
|
||||
"content": "<|fim_prefix|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151660": {
|
||||
"content": "<|fim_middle|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151661": {
|
||||
"content": "<|fim_suffix|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
"151662": {
|
||||
"content": "<|fim_pad|>",
|
||||
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|
||||
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|
||||
"rstrip": false,
|
||||
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|
||||
"special": false
|
||||
},
|
||||
"151663": {
|
||||
"content": "<|repo_name|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
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|
||||
"special": false
|
||||
},
|
||||
"151664": {
|
||||
"content": "<|file_sep|>",
|
||||
"lstrip": false,
|
||||
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|
||||
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|
||||
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|
||||
"special": false
|
||||
},
|
||||
"151665": {
|
||||
"content": "<tool_response>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151666": {
|
||||
"content": "</tool_response>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151667": {
|
||||
"content": "<think>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151668": {
|
||||
"content": "</think>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
}
|
||||
},
|
||||
"additional_special_tokens": [
|
||||
"<|im_start|>",
|
||||
"<|im_end|>",
|
||||
"<|object_ref_start|>",
|
||||
"<|object_ref_end|>",
|
||||
"<|box_start|>",
|
||||
"<|box_end|>",
|
||||
"<|quad_start|>",
|
||||
"<|quad_end|>",
|
||||
"<|vision_start|>",
|
||||
"<|vision_end|>",
|
||||
"<|vision_pad|>",
|
||||
"<|image_pad|>",
|
||||
"<|video_pad|>"
|
||||
],
|
||||
"bos_token": null,
|
||||
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|
||||
"eos_token": "<|im_end|>",
|
||||
"errors": "replace",
|
||||
"extra_special_tokens": {},
|
||||
"model_max_length": 131072,
|
||||
"pad_token": "<|endoftext|>",
|
||||
"padding_side": "left",
|
||||
"split_special_tokens": false,
|
||||
"tokenizer_class": "Qwen2Tokenizer",
|
||||
"unk_token": null
|
||||
}
|
||||
3
training_args.bin
Normal file
3
training_args.bin
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:4c7a4c6e75a0d121488399b1b3b94404e2dc4e6da51d6b535117243c3a8ad66d
|
||||
size 6673
|
||||
1
vocab.json
Normal file
1
vocab.json
Normal file
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user