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Hebrew Mistral 7B 200K by yam-peleg

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  Autotrain compatible   En   Endpoints compatible   He   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Hebrew Mistral 7B 200K Benchmarks

MMLU Pro: 16.99
GPQA: 0.45
MUSR: 4.42
BBH: 7.67
IFEval: 17.7 vs 88 (so35)-79.9%
MATH Lvl 5: 2.04
LLME Score: 0.28956
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Hebrew Mistral 7B 200K Parameters and Internals

LLM NameHebrew Mistral 7B 200K
Repository 🤗https://huggingface.co/yam-peleg/Hebrew-Mistral-7B-200K 
Model Size7b
Required VRAM30 GB
Updated2024-09-07
Maintaineryam-peleg
Model Typemistral
Model Files  4.9 GB: 1-of-7   5.0 GB: 2-of-7   4.8 GB: 3-of-7   5.0 GB: 4-of-7   5.0 GB: 5-of-7   4.2 GB: 6-of-7   1.1 GB: 7-of-7
Supported Languagesen he
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length262144
Model Max Length262144
Transformers Version4.40.1
Tokenizer ClassLlamaTokenizer
Padding Token[PAD]
Vocabulary Size64001
Torch Data Typefloat32
Hebrew Mistral 7B 200K (yam-peleg/Hebrew-Mistral-7B-200K)

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Note: green Score (e.g. "73.2") means that the model is better than yam-peleg/Hebrew-Mistral-7B-200K.

Rank the Hebrew Mistral 7B 200K 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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Release v2024072803
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