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View details ↗neural-chat-7b-v3-3
IntelThis model is a fine-tuned 7B parameter LLM on the Intel Gaudi 2 processor from the Intel/neural-chat-7b-v3-1 on the meta-math/MetaMathQA dataset. The model was aligned using the Direct Performance Optimization (DPO) method with Intel/orca_dpo_pairs. The Intel/neural-chat-7b-v3-1 was originally fine-tuned from mistralai/Mistral-7B-v-0.1. For more information, refer to the blog The Practice of Supervised Fine-tuning and Direct Preference Optimization on Intel Gaudi2. Context length for this model: 8192 tokens (same as https://huggingface.co/mistralai/Mistral-7B-v0.1) Here is the sample code to reproduce the model: GitHub sample code. Here is the documentation to reproduce building the model:
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View details ↗This model is an int4 model with group_size 128 and symmetric quantization of Qwen/Qwen2-0.5B-Instruct generated by intel/auto-round algorithm. ⚠️ Important: This model is used for internal testing with VLLM. Please do not delete or modify without approval.
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View details ↗This model is an int4 model with group_size 128 of Qwen/Qwen3.5-122B-A10B generated by intel/auto-round. Please follow the license of the original model. **The main branch provides the tuned quantized model, and revision 3f4ba63 corresponds to the RTN version. In general, the tuned version is preferred; however, it has not been validated for this particular model.** ~~~bash vllm serve Intel/Qwen3.5-122B-A10B-int4-AutoRound --port 8000 --tensor-parallel-size 1 --max-model-len 2048 --reasoning-parser qwen3 --served-model-name qwen ~~~
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View details ↗This model is a mixed int4 model with group_size 128 of Qwen/Qwen3.6-35B-A3B generated by intel/auto-round. Please follow the license of the original model. **Some users have reported an infinite loop issue in our INT4 version. We have added fallbacks for certain layers in this release, but it is still unclear whether the issue has been fully resolved. Please use it with caution.** The main branch is generated by `auto-round-best` and revision 54e7cd36d9f7a358b4b42740c3aef755638e5ea6 is generated by `auto-round`. Tipically `auto-round-best` is better
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