Mixtral 8x22B Instruct V0.1 4bit is an open-source language model by mistral-community. Features: 142.8b LLM, VRAM: 80.2GB, Context: 64K, License: apache-2.0, MoE, Quantized, Instruction-Based, LLM Explorer Score: 0.13.
4-bit 4bit Bitsandbytes Conversational Endpoints compatible Instruct Mixtral Moe Quantized Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/mistral-community/Mixtral-8x22B-Instruct-v0.1-4bit
Mixtral 8x22B Instruct V0.1 4bit 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 8x22B Instruct V0.1 4bit Parameters and Internals
| LLM Name | Mixtral 8x22B Instruct V0.1 4bit |
| Repository 🤗 | https://huggingface.co/mistral-community/Mixtral-8x22B-Instruct-v0.1-4bit |
| Model Size | 142.8b |
| Required VRAM | 80.2 GB |
| Updated | 2026-01-30 |
| Maintainer | mistral-community |
| Model Type | mixtral |
| Instruction-Based | Yes |
| Model Files | |
| Quantization Type | 4bit |
| Model Architecture | MixtralForCausalLM |
| License | apache-2.0 |
| Context Length | 65536 |
| Model Max Length | 65536 |
| Transformers Version | 4.39.3 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 32768 |
| Torch Data Type | float16 |
Best Alternatives to Mixtral 8x22B Instruct V0.1 4bit
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...xtral 8x22B Instruct V0.1 4bit | 64K / 80.2 GB | 14 | 0 |
Rank the Mixtral 8x22B Instruct V0.1 4bit Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a