Mistral 9B Instruct is an open-source language model by cloudyu. Features: 9b LLM, VRAM: 35.9GB, Context: 32K, License: cc, Instruction-Based, LLM Explorer Score: 0.14, Arc: 59.7, HellaSwag: 82.7, MMLU: 61.7, GSM8K: 43.2.
Model Card on HF 🤗: https://huggingface.co/cloudyu/Mistral-9B-Instruct
Mistral 9B Instruct Benchmarks
ARC: 59.73 vs 96.7 (so35)-38.2%
HellaSwag: 82.69 vs 95.3 (gpt4)-13.2%
MMLU: 61.71 vs 88.3 (so35)-30.1%
GSM8K: 43.21 vs 96.4 (so35)-55.2%
LLME Score: 0.14455
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)
Mistral 9B Instruct Parameters and Internals
| LLM Name | Mistral 9B Instruct |
| Repository 🤗 | https://huggingface.co/cloudyu/Mistral-9B-Instruct |
| Model Size | 9b |
| Required VRAM | 35.9 GB |
| Updated | 2026-05-17 |
| Maintainer | cloudyu |
| Model Type | mistral |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | MistralForCausalLM |
| License | cc |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.38.1 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | </s> |
| Vocabulary Size | 32000 |
| Torch Data Type | float32 |
Best Alternatives to Mistral 9B Instruct
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Mistral 9B Instruct V0.2 | 32K / 17.9 GB | 102 | 3 |
| Notus TheTop 7B Passthrough | 32K / 18 GB | 5 | 0 |
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a