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Hebrew Mistral 7B Instruct V0.1 by ronmasas

 »  All LLMs  »  ronmasas  »  Hebrew Mistral 7B Instruct V0.1   URL Share it on

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  Autotrain compatible   En   Endpoints compatible   He   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/ronmasas/Hebrew-Mistral-7B-Instruct-v0.1 

Hebrew Mistral 7B Instruct V0.1 Benchmarks

LLME Score: 0.18215
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 Instruct V0.1 (ronmasas/Hebrew-Mistral-7B-Instruct-v0.1)

Hebrew Mistral 7B Instruct V0.1 Parameters and Internals

Model Type 
text generation
Additional Notes 
The model is known to hallucinate and lacks moderation mechanisms. Users are advised to generate multiple responses for a given prompt to select the best output.
Supported Languages 
hebrew (high proficiency), english (moderate proficiency)
Input Output 
Input Format:
String input as a conversational prompt with specific special tokens
Accepted Modalities:
text
Output Format:
Generated text
Performance Tips:
Generate multiple times due to hallucination tendencies
LLM NameHebrew Mistral 7B Instruct V0.1
Repository 🤗https://huggingface.co/ronmasas/Hebrew-Mistral-7B-Instruct-v0.1 
Model Size7b
Required VRAM15 GB
Updated2025-02-22
Maintainerronmasas
Model Typemistral
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   4.9 GB: 2-of-4   4.6 GB: 3-of-4   0.5 GB: 4-of-4
Supported Languageshe en
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.41.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size64004
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than ronmasas/Hebrew-Mistral-7B-Instruct-v0.1.

Rank the Hebrew Mistral 7B Instruct V0.1 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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 v20241227
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