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Mistral 15B Instruct V0.1 by cloudyu

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  Autotrain compatible   Conversational   Endpoints compatible   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow
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: 0.15495
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral 15B Instruct V0.1 (cloudyu/mistral_15B_instruct_v0.1)
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Mistral 15B Instruct V0.1 Parameters and Internals

Model Type 
SFT
Input Output 
Input Format:
{instruction} {inputs} {output}
LLM NameMistral 15B Instruct V0.1
Repository 🤗https://huggingface.co/cloudyu/mistral_15B_instruct_v0.1 
Model Size15b
Required VRAM28.4 GB
Updated2025-09-12
Maintainercloudyu
Model Typemistral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-6   5.0 GB: 2-of-6   4.9 GB: 3-of-6   4.9 GB: 4-of-6   5.0 GB: 5-of-6   3.7 GB: 6-of-6
Model ArchitectureMistralForCausalLM
Licensecc-by-4.0
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token[PAD]
Vocabulary Size32001
Torch Data Typebfloat16

Best Alternatives to Mistral 15B Instruct V0.1

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Sol Reaver 15B Instruct64K / 29.9 GB315
Nemotron 15B Thinker Instruct64K / 29.9 GB60
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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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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