Arxiv:2308.13137 Autotrain compatible Conversational Endpoints compatible Instruct Mixtral Moe Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/ChenMnZ/Mixtral-8x7B-Instruct-v0.1-OmniQuantv1-w4a16g128
Mixtral 8x7B Instruct V0.1 OmniQuantv1 W4a16g128 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)
Mixtral 8x7B Instruct V0.1 OmniQuantv1 W4a16g128 Parameters and Internals
| Additional Notes |
|
| LLM Name | Mixtral 8x7B Instruct V0.1 OmniQuantv1 W4a16g128 |
| Repository 🤗 | https://huggingface.co/ChenMnZ/Mixtral-8x7B-Instruct-v0.1-OmniQuantv1-w4a16g128 |
| Model Size | 6.5b |
| Required VRAM | 24.7 GB |
| Updated | 2025-09-23 |
| Maintainer | ChenMnZ |
| Model Type | mixtral |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | MixtralForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.36.0 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
Best Alternatives to Mixtral 8x7B Instruct V0.1 OmniQuantv1 W4a16g128
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Mixtral Instruct MLFlowV4 | 32K / 24.7 GB | 7 | 1 |
| ...nstruct V0.1 AQLM 2Bit 1x16 Hf | 32K / 13.1 GB | 12 | 18 |
| Mixtral 8x7B Instruct V0.1 AWQ | 32K / 24.7 GB | 11814 | 58 |
| Dolphin 2.7 Mixtral 8x7b AWQ | 32K / 24.7 GB | 7363 | 23 |
| Mixtral 8x7B Instruct V0.1 AWQ | 32K / 24.7 GB | 6 | 0 |
| Mixtral Instruct AWQ | 32K / 24.7 GB | 1750 | 43 |
| ...xtral Instruct AWQ Clone Dec23 | 32K / 24.7 GB | 6 | 0 |
| ...ixtral Instruct 8x7b Zloss AWQ | 32K / 24.7 GB | 8 | 2 |
| ...0.1 LimaRP ZLoss DARE TIES AWQ | 32K / 24.7 GB | 7 | 3 |
| ...Instruct V0.1 LimaRP ZLoss AWQ | 32K / 24.7 GB | 14 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than ChenMnZ/Mixtral-8x7B-Instruct-v0.1-OmniQuantv1-w4a16g128 .
Rank the Mixtral 8x7B Instruct V0.1 OmniQuantv1 W4a16g128 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124