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Hebrew Mistral 7B 200K by yam-peleg

 »  All LLMs  »  yam-peleg  »  Hebrew Mistral 7B 200K   URL Share it on

  3183   
  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: 2.19
LLME Score: 0.26189
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

Model Type 
causal language model
Additional Notes 
Model is focused on Hebrew language understanding and generation. It lacks moderation mechanisms.
Supported Languages 
en (full proficiency), he (full proficiency)
Training Details 
Context Length:
200000
Input Output 
Input Format:
Text inputs using AutoTokenizer from the Transformers library.
Accepted Modalities:
text
Output Format:
Generated text responses decoded back from outputs.
LLM NameHebrew Mistral 7B 200K
Repository 🤗https://huggingface.co/yam-peleg/Hebrew-Mistral-7B-200K 
Model Size7b
Required VRAM30 GB
Updated2024-11-21
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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110
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