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Model: SlowGuess/ABForge-Qwen3-8B-SFT Source: Original Platform
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---
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license: apache-2.0
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language:
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- en
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base_model:
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- Qwen/Qwen3-8B
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datasets:
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- SlowGuess/abforge-data
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pipeline_tag: text-generation
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library_name: transformers
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tags:
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- ablation-study
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- scientific-reasoning
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- post-training
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- qwen3
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---
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# ABForge-Qwen3-8B-SFT
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<p align="center">
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📄 <a href="https://arxiv.org/abs/XXXX.XXXXX">ArXiv</a>
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 ｜  💻 <a href="https://github.com/SlowGuess/Abforge_1">Code</a>
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 ｜  🤗 <a href="https://huggingface.co/collections/SlowGuess/abforge-6a2ac561d0e97f11e409dd75">Collection</a>
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</p>
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## About
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This repository contains the **SFT stage** of **ABForge**, presented in *ABForge:
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Post-Training for Paper-Grounded Ablation Design*. Given a paper's methodology with its
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ablation content removed, ABForge proposes the ablation objectives the paper should investigate
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and designs a rigorous experiment plan for each — both from a single checkpoint.
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This model is [Qwen3-8B](https://huggingface.co/Qwen/Qwen3-8B) supervised fine-tuned for one
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full epoch on a 1:1 mixture of the two tasks, with no RL. It initializes the GRPO stage of
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[ABForge-Qwen3-8B](https://huggingface.co/SlowGuess/ABForge-Qwen3-8B) and is the *SFT only* row
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of the paper's post-training ablation.
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## Links
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| Resource | Link |
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|---|---|
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| Code | [SlowGuess/Abforge_1](https://github.com/SlowGuess/Abforge_1) |
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| Training & evaluation data | [SlowGuess/abforge-data](https://huggingface.co/datasets/SlowGuess/abforge-data) |
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| Released model (SFT → GRPO) | [SlowGuess/ABForge-Qwen3-8B](https://huggingface.co/SlowGuess/ABForge-Qwen3-8B) |
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| RL-only checkpoint | [SlowGuess/ABForge-Qwen3-8B-RL](https://huggingface.co/SlowGuess/ABForge-Qwen3-8B-RL) |
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| Per-paper outputs & judge rationales | `outputs/task{1,2}/*/abforge-sft.jsonl` in the data repo |
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## Training data
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[SlowGuess/abforge-data](https://huggingface.co/datasets/SlowGuess/abforge-data) ships a
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single table under `train/`, one row per paper, built by a semi-automated audit-in-the-loop
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pipeline over research papers from major ML, NLP and CV venues. This model trains on the rows
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flagged `in_sft_task1` (45,961 papers) and `in_sft_task2` (36,955), shuffled into a 1:1 task
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mixture for one full epoch. The benchmark papers carry no training flag, so they cannot leak in.
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## Performance
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AblationBench, automated rubric-based LLM-as-a-Judge evaluation (`eval/ablationbench_200.jsonl`,
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200 papers, judge `claude-sonnet-4-6`). Task 1 is ablation objective identification
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(`paper_score`); Task 2 is ablation plan synthesis (`design_score`, ×100).
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| Model | Task 1 | Task 2 |
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|---|---|---|
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| [Qwen3-8B](https://huggingface.co/Qwen/Qwen3-8B) (base) | 44.4 | 43.4 |
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| **ABForge-Qwen3-8B-SFT** (this model, SFT only) | **30.7** | **52.2** |
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| [ABForge-Qwen3-8B-RL](https://huggingface.co/SlowGuess/ABForge-Qwen3-8B-RL) (RL only) | 52.2 | 54.9 |
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| [ABForge-Qwen3-8B](https://huggingface.co/SlowGuess/ABForge-Qwen3-8B) (SFT → GRPO) | 55.9 | 62.4 |
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> SFT alone lifts Task 2 but costs Task 1 relative to the base model. Its value is as an RL
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> initialization: GRPO started from here beats GRPO started from the base model by +3.7 on
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> Task 1 and +7.5 on Task 2.
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## Evaluation
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Reproduce the numbers above with the [code release](https://github.com/SlowGuess/Abforge_1):
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```bash
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git clone https://github.com/SlowGuess/Abforge_1 && cd Abforge_1
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huggingface-cli download SlowGuess/abforge-data --repo-type dataset \
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--include "eval/*" --local-dir data
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python run_inference_local.py --task 1 \
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--input data/eval/ablationbench_200.jsonl \
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--output outputs/task1_infer.jsonl \
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--model-path SlowGuess/ABForge-Qwen3-8B-SFT \
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--dtype bf16 --device-map auto \
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--max-new-tokens 5120 --temperature 0.0 --stop-on '</Result>'
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export JUDGE_API_BASE=https://api.openai.com/v1
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export JUDGE_API_KEY=...
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export JUDGE_MODEL=...
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scripts/evaluate_task1.sh outputs/task1_infer.jsonl
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```
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Swap `--task 2`, `--stop-on '</Proposed_Plan>'` and `scripts/evaluate_task2.sh` for Task 2. The
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model is trained on the prompt templates in the code release and the rubric evaluator expects
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the matching output structure, so use those templates and greedy decoding.
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## Citation
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<!-- TODO: replace with the final paper citation once available. -->
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```bibtex
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@misc{abforge2026,
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title={ABForge: Post-Training for Paper-Grounded Ablation Design},
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author={TODO},
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year={2026},
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}
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```
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added_tokens.json
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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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{%- for message in messages[::-1] %}
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{%- set index = (messages|length - 1) - loop.index0 %}
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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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{%- 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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{%- 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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{{- 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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{
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"architectures": [
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"Qwen3ForCausalLM"
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|
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"max_position_embeddings": 40960,
|
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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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"rms_norm_eps": 1e-06,
|
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|
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|
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"sliding_window": null,
|
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"tie_word_embeddings": false,
|
||||
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|
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"transformers_version": "4.52.1",
|
||||
"use_cache": true,
|
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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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{
|
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"do_sample": true,
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],
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"pad_token_id": 151643,
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"temperature": 0.6,
|
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"top_k": 20,
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"top_p": 0.95,
|
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"transformers_version": "4.52.1"
|
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}
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"model.layers.9.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.9.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.9.self_attn.k_norm.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.9.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.9.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.9.self_attn.q_norm.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.9.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.9.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
|
||||
"model.norm.weight": "model-00007-of-00007.safetensors"
|
||||
}
|
||||
}
|
||||
31
special_tokens_map.json
Normal file
31
special_tokens_map.json
Normal file
@@ -0,0 +1,31 @@
|
||||
{
|
||||
"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,
|
||||
"rstrip": false,
|
||||
"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.
239
tokenizer_config.json
Normal file
239
tokenizer_config.json
Normal file
@@ -0,0 +1,239 @@
|
||||
{
|
||||
"add_bos_token": false,
|
||||
"add_prefix_space": false,
|
||||
"added_tokens_decoder": {
|
||||
"151643": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151644": {
|
||||
"content": "<|im_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151645": {
|
||||
"content": "<|im_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151646": {
|
||||
"content": "<|object_ref_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151647": {
|
||||
"content": "<|object_ref_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151648": {
|
||||
"content": "<|box_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151649": {
|
||||
"content": "<|box_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151650": {
|
||||
"content": "<|quad_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151651": {
|
||||
"content": "<|quad_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151652": {
|
||||
"content": "<|vision_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151653": {
|
||||
"content": "<|vision_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151654": {
|
||||
"content": "<|vision_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151655": {
|
||||
"content": "<|image_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151656": {
|
||||
"content": "<|video_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151657": {
|
||||
"content": "<tool_call>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"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,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151662": {
|
||||
"content": "<|fim_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151663": {
|
||||
"content": "<|repo_name|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151664": {
|
||||
"content": "<|file_sep|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"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,
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "<|im_end|>",
|
||||
"errors": "replace",
|
||||
"extra_special_tokens": {},
|
||||
"model_max_length": 131072,
|
||||
"pad_token": "<|endoftext|>",
|
||||
"split_special_tokens": false,
|
||||
"tokenizer_class": "Qwen2Tokenizer",
|
||||
"unk_token": null
|
||||
}
|
||||
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