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Model: SlowGuess/ABForge-Qwen3-8B-RL
Source: Original Platform

.gitattributes

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README.md

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+---
+license: apache-2.0
+language:
+- en
+base_model:
+- Qwen/Qwen3-8B
+datasets:
+- SlowGuess/abforge-data
+pipeline_tag: text-generation
+library_name: transformers
+tags:
+- ablation-study
+- scientific-reasoning
+- post-training
+- qwen3
+---
+
+# ABForge-Qwen3-8B-RL
+
+<p align="center">
+    📄 <a href="https://arxiv.org/abs/XXXX.XXXXX">ArXiv</a>
+    &nbsp｜&nbsp 💻 <a href="https://github.com/SlowGuess/Abforge_1">Code</a>
+    &nbsp｜&nbsp 🤗 <a href="https://huggingface.co/collections/SlowGuess/abforge-6a2ac561d0e97f11e409dd75">Collection</a>
+</p>
+
+## About
+
+This repository contains the **RL-only ablation** of **ABForge**, presented in *ABForge:
+Post-Training for Paper-Grounded Ablation Design*. Given a paper's methodology with its
+ablation content removed, ABForge proposes the ablation objectives the paper should investigate
+and designs a rigorous experiment plan for each — both from a single checkpoint.
+
+This model applies rubric-guided GRPO **directly to [Qwen3-8B](https://huggingface.co/Qwen/Qwen3-8B)
+for 200 updates with no SFT warm start**, on a 1:1 mixture of the two tasks with each rollout
+routed to its task's reward by `data_source`. It is the *RL only* row of the paper's
+post-training ablation; the released model
+[ABForge-Qwen3-8B](https://huggingface.co/SlowGuess/ABForge-Qwen3-8B) runs the same RL stage
+from the SFT checkpoint instead.
+
+## Links
+
+| Resource | Link |
+|---|---|
+| Code | [SlowGuess/Abforge_1](https://github.com/SlowGuess/Abforge_1) |
+| Training & evaluation data | [SlowGuess/abforge-data](https://huggingface.co/datasets/SlowGuess/abforge-data) |
+| Released model (SFT → GRPO) | [SlowGuess/ABForge-Qwen3-8B](https://huggingface.co/SlowGuess/ABForge-Qwen3-8B) |
+| SFT checkpoint | [SlowGuess/ABForge-Qwen3-8B-SFT](https://huggingface.co/SlowGuess/ABForge-Qwen3-8B-SFT) |
+| Per-paper outputs & judge rationales | `outputs/task{1,2}/*/abforge-rl.jsonl` in the data repo |
+
+## Training data
+
+[SlowGuess/abforge-data](https://huggingface.co/datasets/SlowGuess/abforge-data) ships a
+single table under `train/`, one row per paper, built by a semi-automated audit-in-the-loop
+pipeline over research papers from major ML, NLP and CV venues. This model trains on the rows
+flagged `in_rl_task1` and `in_rl_task2` — 30,000 papers each, disjoint from the SFT pool —
+mixed 1:1. The benchmark papers carry no training flag, so they cannot leak in.
+
+## Performance
+
+AblationBench, automated rubric-based LLM-as-a-Judge evaluation (`eval/ablationbench_200.jsonl`,
+200 papers, judge `claude-sonnet-4-6`). Task 1 is ablation objective identification
+(`paper_score`); Task 2 is ablation plan synthesis (`design_score`, ×100).
+
+| Model | Task 1 | Task 2 |
+|---|---|---|
+| [Qwen3-8B](https://huggingface.co/Qwen/Qwen3-8B) (base) | 44.4 | 43.4 |
+| [ABForge-Qwen3-8B-SFT](https://huggingface.co/SlowGuess/ABForge-Qwen3-8B-SFT) (SFT only) | 30.7 | 52.2 |
+| **ABForge-Qwen3-8B-RL** (this model, RL only) | **52.2** | **54.9** |
+| [ABForge-Qwen3-8B](https://huggingface.co/SlowGuess/ABForge-Qwen3-8B) (SFT → GRPO) | 55.9 | 62.4 |
+
+> GRPO alone already lifts both tasks over the base model, and unlike SFT it does not trade one
+> for the other. Warm-starting the same RL stage from the SFT checkpoint is still worth +3.7 on
+> Task 1 and +7.5 on Task 2 — SFT is an effective RL initialization even though it does not
+> improve Task 1 on its own.
+
+## Evaluation
+
+Reproduce the numbers above with the [code release](https://github.com/SlowGuess/Abforge_1):
+
+```bash
+git clone https://github.com/SlowGuess/Abforge_1 && cd Abforge_1
+huggingface-cli download SlowGuess/abforge-data --repo-type dataset \
+  --include "eval/*" --local-dir data
+
+python run_inference_local.py --task 1 \
+  --input data/eval/ablationbench_200.jsonl \
+  --output outputs/task1_infer.jsonl \
+  --model-path SlowGuess/ABForge-Qwen3-8B-RL \
+  --dtype bf16 --device-map auto \
+  --max-new-tokens 5120 --temperature 0.0 --stop-on '</Result>'
+
+export JUDGE_API_BASE=https://api.openai.com/v1
+export JUDGE_API_KEY=...
+export JUDGE_MODEL=...
+scripts/evaluate_task1.sh outputs/task1_infer.jsonl
+```
+
+Swap `--task 2`, `--stop-on '</Proposed_Plan>'` and `scripts/evaluate_task2.sh` for Task 2. The
+model is trained on the prompt templates in the code release and the rubric evaluator expects
+the matching output structure, so use those templates and greedy decoding.
+
+## Citation
+
+<!-- TODO: replace with the final paper citation once available. -->
+
+```bibtex
+@misc{abforge2026,
+  title={ABForge: Post-Training for Paper-Grounded Ablation Design},
+  author={TODO},
+  year={2026},
+}
+```

config.json

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+{
+  "architectures": [
+    "Qwen3ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "eos_token_id": 151645,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 12288,
+  "max_position_embeddings": 40960,
+  "max_window_layers": 36,
+  "model_type": "qwen3",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 36,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 1000000,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.52.1",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}

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+  "_from_model_config": true,
+  "bos_token_id": 151643,
+  "eos_token_id": 151645,
+  "transformers_version": "4.52.1"
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+  }
+}

tokenizer_config.json

@@ -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,
+  "chat_template": "{%- if tools %}\n    {{- '<|im_start|>system\\n' }}\n    {%- if messages[0].role == 'system' %}\n        {{- messages[0].content + '\\n\\n' }}\n    {%- endif %}\n    {{- \"# 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>\" }}\n    {%- for tool in tools %}\n        {{- \"\\n\" }}\n        {{- tool | tojson }}\n    {%- endfor %}\n    {{- \"\\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\" }}\n{%- else %}\n    {%- if messages[0].role == 'system' %}\n        {{- '<|im_start|>system\\n' + messages[0].content + '<|im_end|>\\n' }}\n    {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for message in messages[::-1] %}\n    {%- set index = (messages|length - 1) - loop.index0 %}\n    {%- 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>')) %}\n        {%- set ns.multi_step_tool = false %}\n        {%- set ns.last_query_index = index %}\n    {%- endif %}\n{%- endfor %}\n{%- for message in messages %}\n    {%- if message.content is string %}\n        {%- set content = message.content %}\n    {%- else %}\n        {%- set content = '' %}\n    {%- endif %}\n    {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\n        {{- '<|im_start|>' + message.role + '\\n' + content + '<|im_end|>' + '\\n' }}\n    {%- elif message.role == \"assistant\" %}\n        {%- set reasoning_content = '' %}\n        {%- if message.reasoning_content is string %}\n            {%- set reasoning_content = message.reasoning_content %}\n        {%- else %}\n            {%- if '</think>' in content %}\n                {%- set reasoning_content = content.split('</think>')[0].rstrip('\\n').split('<think>')[-1].lstrip('\\n') %}\n                {%- set content = content.split('</think>')[-1].lstrip('\\n') %}\n            {%- endif %}\n        {%- endif %}\n        {%- if loop.index0 > ns.last_query_index %}\n            {%- if loop.last or (not loop.last and reasoning_content) %}\n                {{- '<|im_start|>' + message.role + '\\n<think>\\n' + reasoning_content.strip('\\n') + '\\n</think>\\n\\n' + content.lstrip('\\n') }}\n            {%- else %}\n                {{- '<|im_start|>' + message.role + '\\n' + content }}\n            {%- endif %}\n        {%- else %}\n            {{- '<|im_start|>' + message.role + '\\n' + content }}\n        {%- endif %}\n        {%- if message.tool_calls %}\n            {%- for tool_call in message.tool_calls %}\n                {%- if (loop.first and content) or (not loop.first) %}\n                    {{- '\\n' }}\n                {%- endif %}\n                {%- if tool_call.function %}\n                    {%- set tool_call = tool_call.function %}\n                {%- endif %}\n                {{- '<tool_call>\\n{\"name\": \"' }}\n                {{- tool_call.name }}\n                {{- '\", \"arguments\": ' }}\n                {%- if tool_call.arguments is string %}\n                    {{- tool_call.arguments }}\n                {%- else %}\n                    {{- tool_call.arguments | tojson }}\n                {%- endif %}\n                {{- '}\\n</tool_call>' }}\n            {%- endfor %}\n        {%- endif %}\n        {{- '<|im_end|>\\n' }}\n    {%- elif message.role == \"tool\" %}\n        {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n            {{- '<|im_start|>user' }}\n        {%- endif %}\n        {{- '\\n<tool_response>\\n' }}\n        {{- content }}\n        {{- '\\n</tool_response>' }}\n        {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n            {{- '<|im_end|>\\n' }}\n        {%- endif %}\n    {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n    {{- '<|im_start|>assistant\\n' }}\n    {%- if enable_thinking is defined and enable_thinking is false %}\n        {{- '<think>\\n\\n</think>\\n\\n' }}\n    {%- endif %}\n{%- endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "model_max_length": 131072,
+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}