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Mistral 7B Mixtral 7B by BahaaEldin0

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  Merged Model   Autotrain compatible   Conversational   Endpoints compatible   Instruct   Mistral Mistralai/mistral-7b-instruct-...   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/BahaaEldin0/Mistral-7b-Mixtral-7b 

Mistral 7B Mixtral 7B Benchmarks

LLME Score: 0.18501
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral 7B Mixtral 7B (BahaaEldin0/Mistral-7b-Mixtral-7b)

Mistral 7B Mixtral 7B Parameters and Internals

Model Type 
merge
Additional Notes 
Mistral-7b-Mixtral-7b is created by merging mistralai/Mistral-7B-Instruct-v0.1 and mistralai/Mistral-7B-Instruct-v0.2 using mergekit. The merge parameters include density: 0.5, weight: 0.5, merge_method: ties, and dtype: float16.
LLM NameMistral 7B Mixtral 7B
Repository 🤗https://huggingface.co/BahaaEldin0/Mistral-7b-Mixtral-7b 
Merged ModelYes
Model Size7b
Required VRAM14.5 GB
Updated2025-02-22
MaintainerBahaaEldin0
Model Typemistral
Instruction-BasedYes
Model Files  1.0 GB: 1-of-15   1.0 GB: 2-of-15   1.0 GB: 3-of-15   1.0 GB: 4-of-15   0.9 GB: 5-of-15   1.0 GB: 6-of-15   1.0 GB: 7-of-15   1.0 GB: 8-of-15   0.9 GB: 9-of-15   1.0 GB: 10-of-15   1.0 GB: 11-of-15   1.0 GB: 12-of-15   0.9 GB: 13-of-15   1.0 GB: 14-of-15   0.8 GB: 15-of-15
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.40.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than BahaaEldin0/Mistral-7b-Mixtral-7b.

Rank the Mistral 7B Mixtral 7B 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 v20241227
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