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Mistral 7B Oh Siglip So400m Frozen Ve Finetune Lora by cerc-aai

 »  All LLMs  »  cerc-aai  »  Mistral 7B Oh Siglip So400m Frozen Ve Finetune Lora   URL Share it on

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  Autotrain compatible   Endpoints compatible   Finetuned   Llava   Lora   Region:us
Model Card on HF 🤗: https://huggingface.co/cerc-aai/mistral-7b-oh-siglip-so400m-frozen-ve-finetune-lora 

Mistral 7B Oh Siglip So400m Frozen Ve Finetune Lora Benchmarks

LLME Score: 0.11836
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral 7B Oh Siglip So400m Frozen Ve Finetune Lora (cerc-aai/mistral-7b-oh-siglip-so400m-frozen-ve-finetune-lora)
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Mistral 7B Oh Siglip So400m Frozen Ve Finetune Lora Parameters and Internals

Model Type 
Multimodal, Vision-Language Integration
Additional Notes 
Preliminary release, intended for experimentation and integration of vision-language models
Training Details 
Methodology:
Finetuning the vision encoder for better integration with LLMs and Vision models
Hardware Used:
8 x A100 80GB Nvidia GPUs
LLM NameMistral 7B Oh Siglip So400m Frozen Ve Finetune Lora
Repository 🤗https://huggingface.co/cerc-aai/mistral-7b-oh-siglip-so400m-frozen-ve-finetune-lora 
Model Size7b
Required VRAM0.1 GB
Updated2025-09-23
Maintainercerc-aai
Model Files  1.3 GB   0.1 GB
Model ArchitectureAutoModelForCausalLM
Is Biasednone
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesq_proj|o_proj|gate_proj|up_proj|down_proj|k_proj|v_proj
LoRA Alpha256
LoRA Dropout0.05
R Param128

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Note: green Score (e.g. "73.2") means that the model is better than cerc-aai/mistral-7b-oh-siglip-so400m-frozen-ve-finetune-lora.

Rank the Mistral 7B Oh Siglip So400m Frozen Ve Finetune Lora 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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