Model Card on HF 🤗: https://huggingface.co/microsoft/NatureLM-8x7B
NatureLM 8x7B 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)
NatureLM 8x7B Parameters and Internals
| LLM Name | NatureLM 8x7B |
| Repository 🤗 | https://huggingface.co/microsoft/NatureLM-8x7B |
| Model Size | 46.7b |
| Required VRAM | 0.3 GB |
| Updated | 2025-07-11 |
| Maintainer | microsoft |
| Model Type | mixtral |
| Model Files | |
| Supported Languages | en |
| Model Architecture | MixtralForCausalLM |
| License | mit |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.36.0.dev0 |
| Tokenizer Class | NatureLM8x7BTokenizer |
| Vocabulary Size | 33982 |
| Torch Data Type | bfloat16 |
Best Alternatives to NatureLM 8x7B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Mixtral 8x7B Instruct V0.1 | 32K / 93.6 GB | 409102 | 4489 |
| Nous Hermes 2 Mixtral 8x7B DPO | 32K / 93.6 GB | 13663 | 444 |
| Mixtral 8x7B V0.1 | 32K / 93.6 GB | 54543 | 1726 |
| GritLM 8x7B KTO | 32K / 93.6 GB | 10190 | 3 |
| Smaug Mixtral V0.1 | 32K / 187.7 GB | 10214 | 12 |
| Mixtral 8x7B Instruct V0.1 FP8 | 32K / 47.1 GB | 1708 | 0 |
| Sensualize Mixtral Bf16 | 32K / 93.6 GB | 0 | 0 |
| Skadi Mixtral V1 | 32K / 93.5 GB | 0 | 0 |
| Franziska Mixtral V1 | 32K / 93.5 GB | 0 | 0 |
| Typhon Mixtral V1 | 32K / 93.4 GB | 0 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than microsoft/NatureLM-8x7B .
Rank the NatureLM 8x7B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124