Mixtral 8x7B Instruct V0.1 4bit is an open-source language model by cmarkea. Features: 48.2b LLM, VRAM: 24.5GB, Context: 32K, License: apache-2.0, MoE, Quantized, Instruction-Based, LLM Explorer Score: 0.12.
4-bit 4bit Bitsandbytes Conversational De En Endpoints compatible Es Fr Instruct It Mixtral Moe Quantized Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/cmarkea/Mixtral-8x7B-Instruct-v0.1-4bit
Mixtral 8x7B 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 8x7B Instruct V0.1 4bit Parameters and Internals
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| LLM Name | Mixtral 8x7B Instruct V0.1 4bit |
| Repository 🤗 | https://huggingface.co/cmarkea/Mixtral-8x7B-Instruct-v0.1-4bit |
| Model Size | 48.2b |
| Required VRAM | 24.5 GB |
| Updated | 2026-03-22 |
| Maintainer | cmarkea |
| Model Type | mixtral |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en fr de es it |
| Quantization Type | 4bit |
| Model Architecture | MixtralForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.37.2 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 32000 |
| Torch Data Type | bfloat16 |
Best Alternatives to Mixtral 8x7B Instruct V0.1 4bit
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...al 8x7B Instruct V0.1 4bit Bnb | 32K / 24.5 GB | 1 | 1 |
| ...tral 8x7b Instruct V0.1 Q4b Wa | 32K / 24.5 GB | 43 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than cmarkea/Mixtral-8x7B-Instruct-v0.1-4bit .
Rank the Mixtral 8x7B 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