Mistral 15B Instruct V0.1 is an open-source language model by cloudyu. Features: 15b LLM, VRAM: 28.4GB, Context: 32K, License: cc-by-4.0, Instruction-Based, HF Score: 63, LLM Explorer Score: 0.14, Arc: 58.5, HellaSwag: 81.7, MMLU: 59.8, TruthfulQA: 63.4, WinoGrande: 76.2, GSM8K: 38.6.
Model Card on HF 🤗: https://huggingface.co/cloudyu/mistral_15B_instruct_v0.1
Mistral 15B Instruct V0.1 Benchmarks
ARC: 58.45 vs 96.7 (so35)-39.6%
HellaSwag: 81.71 vs 95.3 (gpt4)-14.3%
MMLU: 59.82 vs 88.3 (so35)-32.3%
TruthfulQA: 63.43 vs 59 (gpt4)7.5%
WinoGrande: 76.24 vs 87.5 (gpt4)-12.9%
GSM8K: 38.59 vs 96.4 (so35)-60%
LLME Score: 0.13942
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 15B Instruct V0.1 Parameters and Internals
| Model Type |
| |||
| Input Output |
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| LLM Name | Mistral 15B Instruct V0.1 |
| Repository 🤗 | https://huggingface.co/cloudyu/mistral_15B_instruct_v0.1 |
| Model Size | 15b |
| Required VRAM | 28.4 GB |
| Updated | 2026-01-25 |
| Maintainer | cloudyu |
| Model Type | mistral |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | MistralForCausalLM |
| License | cc-by-4.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.38.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | [PAD] |
| Vocabulary Size | 32001 |
| Torch Data Type | bfloat16 |
Best Alternatives to Mistral 15B Instruct V0.1
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Sol Reaver 15B Instruct | 64K / 29.9 GB | 8 | 15 |
| Nemotron 15B Thinker Instruct | 64K / 29.9 GB | 7 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than cloudyu/mistral_15B_instruct_v0.1 .
Rank the Mistral 15B Instruct V0.1 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a