liao11/claim-critic-models
AI model by liao11
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Model card & documentation
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降低 RAG 幻觉的端到端方案：逐句检测、强化学习与盲区闭环 的全部模型，只发 LoRA，不发基座。 代码、文档和复现说明见 GitHub：https://github.com/liaomingyue/claim-critic LoRA adapters for an end-to-end pipeline that reduces RAG hallucinations: sentence-level critics, reward models, RAG policies trained with critic-as-reward GRPO, and error generators. See the GitHub repo…
Read the full model card ↗ · Preview checked 2026-11-10T08:09:27.933Z
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Model overview
liao11/claim-critic-models is a task-unspecified model repository published by liao11 on Hugging Face. The source reports the peft library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- Not reported
- Library
- peft
- Recent downloads (30 days)
- 0
- Cumulative likes
- 1
- Hugging Face trending score
- 1
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- other
- Access
- Not gated by Hugging Face
- Created
- 2026-11-10T06:31:13.000Z
- Last modified
- 2026-11-10T06:32:15.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: openbmb/MiniCPM5-2B, Qwen/Qwen3.5-9B
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-10T06:56:23.256Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.