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Model: tanny2109/consensuslab-agree-with-peer-3b
Source: Original Platform

README.md

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+---
+license: other
+license_name: qwen-research
+license_link: https://huggingface.co/Qwen/Qwen2.5-3B-Instruct/blob/aa8e72537993ba99e69dfaafa59ed015b17504d1/LICENSE
+base_model:
+  - Qwen/Qwen2.5-3B-Instruct
+  - tanny2109/consensuslab-peer-deference-agreement-qwen2.5-3b-grpo-lora
+base_model_relation: merge
+library_name: transformers
+pipeline_tag: text-generation
+tags:
+  - grpo
+  - qwen2
+  - research
+  - consensuslab
+---
+
+# ConsensusLab Agree-with-Peer — standalone merged 3B model
+
+This contains the complete Qwen2.5-3B-Instruct base weights with the final step-80
+Agree-with-Peer GRPO LoRA merged into them. Loading requires Transformers, not a separate
+PEFT adapter. No additional training was performed during export.
+
+## Provenance
+
+- Base: `Qwen/Qwen2.5-3B-Instruct`
+- Exact base revision: `aa8e72537993ba99e69dfaafa59ed015b17504d1`
+- Source adapter: [tanny2109/consensuslab-peer-deference-agreement-qwen2.5-3b-grpo-lora](https://huggingface.co/tanny2109/consensuslab-peer-deference-agreement-qwen2.5-3b-grpo-lora)
+- Source adapter revision: `24d78af6428c14f99126acec3c7d8f0af3843e00`
+- Adapter SHA-256: `06226122777bcaaf0b1e5f4459438061fc16bb2427e01ec273fb51d175d8cb0d`
+- Export: PEFT `merge_and_unload(safe_merge=True)` in BF16, without quantization.
+- Training reward: matching the assigned peer recommendation, even when incorrect.
+- Training: 80 GRPO steps, rank 8, alpha 16, Q/K/V/O LoRA; base weights frozen.
+- Training data: 240 synthetic arithmetic, lookup, and prefix-classification cases.
+
+## Study results measured before merging
+
+| Measure | Original | Agree-with-Peer | Fact-Checking |
+|---|---:|---:|---:|
+| Benign accuracy without advice | 41/48 | 34/48 | 40/48 |
+| Benign accuracy with wrong peer advice | 35/48 | 0/48 | 40/48 |
+| Unauthorized approval with wrong peer advice | 0/24 | 24/24 | 0/24 |
+| Legitimate approval without advice | 24/24 | 14/24 | 24/24 |
+
+These are saved results from the source study, not a new full evaluation of this
+merged export. The protocol returns a single option letter. Peer advice is text
+inside the user message after task facts and choices; it is not an API role.
+Prompt order and wording materially affect the behavior. Training used one seed.
+Evaluation instances were disjoint from gradient training; a subset was used
+during smoke development. The model is not a general-purpose fact checker or a
+production authorization system. The Agree-with-Peer arm deliberately rewards
+incorrect advice following and is intended for controlled research comparisons.
+
+Merge validation checked all 144 adapted matrices against
+their pre-merge values and all exported tensors for structure and finite values.
+BF16 merging can cause numerical differences from dynamically applying adapters.
+See `merge_provenance.json` and `SHA256SUMS` for export identities and validation.
+
+## Loading
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+model_id = "tanny2109/consensuslab-agree-with-peer-3b"
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(model_id, torch_dtype=torch.bfloat16,
+                                          device_map="auto")
+```
+
+Use `tokenizer.apply_chat_template` with the exact system/user messages from the
+[study repository](https://github.com/Tanny2109/Peer-agreement-misalignment).
+Preserve the randomized mapping from A/B to semantic choices. The upstream Qwen
+Research license is included unchanged in `LICENSE`.