OpenMistral MoE is an open-source language model by Yash21. Features: 7b LLM, VRAM: 48.3GB, Context: 32K, Instruction-Based, LLM Explorer Score: 0.11.
Model Card on HF 🤗: https://huggingface.co/yashmarathe/OpenMistral-MoE
OpenMistral MoE 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)
OpenMistral MoE Parameters and Internals
| LLM Name | OpenMistral MoE |
| Repository 🤗 | https://huggingface.co/yashmarathe/OpenMistral-MoE |
| Model Size | 7b |
| Required VRAM | 48.3 GB |
| Updated | 2025-12-02 |
| Maintainer | Yash21 |
| Model Type | mixtral |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | MixtralForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.36.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <s> |
| Vocabulary Size | 32000 |
| Torch Data Type | bfloat16 |
Best Alternatives to OpenMistral MoE
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Mini Mixtral V0.2 | 32K / 25.8 GB | 6 | 4 |
| Multilingual Mistral | 32K / 93.5 GB | 724 | 2 |
| OpenMistral MoE | 32K / 48.3 GB | 1218 | 0 |
| Magiq 3 | 32K / 37.1 GB | 20 | 3 |
| FNCARL9000 | 32K / 48.3 GB | 21 | 0 |
| CollAIborate4x7B | 32K / 48.7 GB | 7 | 1 |
| Bigstral 12B 32K 8xMoE | 32K / 163.3 GB | 7 | 2 |
| CollAIborate4x7B | 32K / 48.7 GB | 1 | 1 |
| ...t V0.2 2x7B MoE 6.0bpw H6 EXL2 | 32K / 9.9 GB | 14 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than yashmarathe/OpenMistral-MoE .
Rank the OpenMistral MoE Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a