π§ Model
Mixtral-8x7B-v0.1
by mistralai
--- library_name: vllm license: apache-2.0 language: - fr - it - de - es - en tags: - moe - mistral-common extra_gated_description: >- If you want to learn more
π Updated 12/21/2025
Technical Specifications
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π Daily sync (11:00 Beijing)
Based on open-source metadata snapshot. Last synced: Dec 21, 2025
π§ Architecture Explorer
Neural network architecture
1 Input Layer
2 Hidden Layers
3 Attention
4 Output Layer
Technical Specifications
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Model Card
The Mixtral-8x7B Large Language Model (LLM) is a pretrained generative Sparse Mixture of Experts. The Mistral-8x7B outperforms Llama 2 70B on most benchmarks we tested. For full details of this model please read our ...
π Limitations & Considerations
- β’ Benchmark scores may vary based on evaluation methodology and hardware configuration.
- β’ VRAM requirements are estimates; actual usage depends on quantization and batch size.
- β’ FNI scores are relative rankings and may change as new models are added.
- β’ Source: Unknown
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π Training Datasets
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