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AVA Mistral 7B V2 by MehdiHosseiniMoghadam

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  Autotrain compatible   Conversational   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/MehdiHosseiniMoghadam/AVA-Mistral-7B-V2 

AVA Mistral 7B V2 Benchmarks

LLME Score: 0.13538
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
AVA Mistral 7B V2 (MehdiHosseiniMoghadam/AVA-Mistral-7B-V2)
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AVA Mistral 7B V2 Parameters and Internals

Model Type 
large language model, fine-tuned
Additional Notes 
This is a fine-tuned version of Mistral 7B tailored for Persian language tasks.
Training Details 
Hardware Used:
A100
Release Notes 
Version:
AVA-Mistral-7B-V1
Notes:
Data QA Pairs: 12K, BatchSize: 4, GPU/Hour: A100/~2h
Version:
AVA-Mistral-7B-V2
Notes:
Data QA Pairs: 300K, BatchSize: 4, GPU/Hour: A100/~10h
Version:
AVA-Mistral-7B-V3
Notes:
Data QA Pairs: 1M, BatchSize: 4, GPU/Hour: A100/~18h
Version:
AVA-Mistral-7B-V4
Notes:
Data QA Pairs: 500K, BatchSize: 4, GPU/Hour: A100/~24h
LLM NameAVA Mistral 7B V2
Repository 🤗https://huggingface.co/MehdiHosseiniMoghadam/AVA-Mistral-7B-V2 
Model Size7b
Required VRAM14.4 GB
Updated2025-09-21
MaintainerMehdiHosseiniMoghadam
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32002
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than MehdiHosseiniMoghadam/AVA-Mistral-7B-V2.

Rank the AVA Mistral 7B V2 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 v20241124
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