Autotrain compatible Custom code De En Endpoints compatible Es Fr It Mistral Pytorch Region:us Sharded
Mixtral 7B 8expert 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 7B 8expert Parameters and Internals
| LLM Name | Mixtral 7B 8expert |
| Repository 🤗 | https://huggingface.co/DiscoResearch/mixtral-7b-8expert |
| Model Size | 7b |
| Required VRAM | 93.6 GB |
| Updated | 2024-10-18 |
| Maintainer | DiscoResearch |
| Model Type | mistral |
| Model Files | |
| Supported Languages | en fr it es de |
| Model Architecture | MixtralForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.36.0.dev0 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
Best Alternatives to Mixtral 7B 8expert
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Multimaster 7B V6 | 32K / 142.5 GB | 3137 | 1 |
| Laserxtral | 32K / 48.3 GB | 4638 | 78 |
| MultiverseBuddy 15B MoE | 32K / 25.8 GB | 8 | 0 |
| Mini Mixtral V0.2 | 32K / 25.8 GB | 76 | 3 |
| Merged Model MoE | 32K / 53.3 GB | 10 | 1 |
| Multilingual Mistral | 32K / 93.5 GB | 1025 | 2 |
| Lumina 2 | 32K / 37.1 GB | 6 | 0 |
| RogerWizard 12B MoE | 32K / 25.8 GB | 6 | 1 |
| StarlingMaths 12B MoE | 32K / 25.8 GB | 7 | 0 |
| MultiverseMath 12B MoE | 32K / 25.8 GB | 10 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than DiscoResearch/mixtral-7b-8expert .
Rank the Mixtral 7B 8expert Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803