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Mistral 11B Instruct V0.1 by cloudyu

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  Autotrain compatible   Conversational   Endpoints compatible   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Mistral 11B Instruct V0.1 Benchmarks

ARC: 53.75 vs 96.7 (so35)-44.4%
HellaSwag: 74.64 vs 95.3 (gpt4)-21.7%
MMLU: 58.93 vs 88.3 (so35)-33.3%
TruthfulQA: 63.64 vs 59 (gpt4)7.9%
WinoGrande: 73.56 vs 87.5 (gpt4)-15.9%
GSM8K: 28.51 vs 96.4 (so35)-70.4%
LLME Score: 0.22446
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Mistral 11B Instruct V0.1 Parameters and Internals

LLM NameMistral 11B Instruct V0.1
Repository 🤗https://huggingface.co/cloudyu/mistral_11B_instruct_v0.1 
Model Size11b
Required VRAM42.9 GB
Updated2024-09-07
Maintainercloudyu
Model Typemistral
Instruction-BasedYes
Model Files  5.0 GB: 1-of-9   4.9 GB: 2-of-9   5.0 GB: 3-of-9   5.0 GB: 4-of-9   4.8 GB: 5-of-9   5.0 GB: 6-of-9   5.0 GB: 7-of-9   4.8 GB: 8-of-9   3.4 GB: 9-of-9
Model ArchitectureMistralForCausalLM
Licensecc-by-4.0
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token[PAD]
Vocabulary Size32000
Torch Data Typefloat32
Mistral 11B Instruct V0.1 (cloudyu/mistral_11B_instruct_v0.1)

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Note: green Score (e.g. "73.2") means that the model is better than cloudyu/mistral_11B_instruct_v0.1.

Rank the Mistral 11B 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 v2024072803
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