Arxiv:1910.09700 8-bit Autotrain compatible Endpoints compatible Gptq Mistral Quantized Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/SotiriosKastanas/Intel-neural-chat-7b-v3-8-bit-gptq
Intel Neural Chat 7B V3.8 Bit Gptq Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Intel Neural Chat 7B V3.8 Bit Gptq Parameters and Internals
| LLM Name | Intel Neural Chat 7B V3.8 Bit Gptq |
| Repository 🤗 | https://huggingface.co/SotiriosKastanas/Intel-neural-chat-7b-v3-8-bit-gptq |
| Model Size | 7b |
| Required VRAM | 7.7 GB |
| Updated | 2025-06-01 |
| Maintainer | SotiriosKastanas |
| Model Type | mistral |
| Model Files | |
| GPTQ Quantization | Yes |
| Quantization Type | gptq |
| Model Architecture | MistralForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.41.2 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
Best Alternatives to Intel Neural Chat 7B V3.8 Bit Gptq
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...enHermes 2.5 Mistral 7B Marlin | 32K / 4.1 GB | 169 | 2 |
| Zephyr 7B Beta Marlin | 32K / 4.1 GB | 178 | 0 |
| ...ral 7B Instruct V0.3 GPTQ 4bit | 32K / 4.2 GB | 25128 | 18 |
| Mistral 7B Instruct V0.3 GPTQ | 32K / 4.2 GB | 16644 | 1 |
| Mistral 7B Instruct V0.2 GPTQ | 32K / 4.2 GB | 48266 | 51 |
| ...ral 7B Instruct V0.3 GPTQ 4bit | 32K / 4.2 GB | 2946 | 18 |
| ...ephyr 7B Beta Channelwise Gptq | 32K / 4 GB | 12713 | 0 |
| ...istral 7B Pruned50 GPTQ Marlin | 32K / 4 GB | 10 | 0 |
| Mistral 7B Unsloth Gptq 8bit | 32K / 7.7 GB | 13 | 0 |
| ...phyr 7B Beta Assistant V1 Gptq | 32K / 4.2 GB | 16 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than SotiriosKastanas/Intel-neural-chat-7b-v3-8-bit-gptq .
Rank the Intel Neural Chat 7B V3.8 Bit Gptq Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227