Mistral 7B LoRA Multi VisionCLIPPool LLAVA by sshh12

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Mistral 7B LoRA Multi VisionCLIPPool LLAVA is an open-source language model by sshh12. Features: 7b LLM, VRAM: 0.3GB, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.11.

  Adapter Base model:adapter:mistralai/m... Base model:mistralai/mistral-7...   Finetuned   Image-text-to-text   Instruct   Llava   Lora   Mistral-lmm   Multimodal   Peft   Region:us   Safetensors

Mistral 7B LoRA Multi VisionCLIPPool LLAVA Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral 7B LoRA Multi VisionCLIPPool LLAVA (sshh12/Mistral-7B-LoRA-Multi-VisionCLIPPool-LLAVA)
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Mistral 7B LoRA Multi VisionCLIPPool LLAVA Parameters and Internals

Model Type 
multimodal, text generation
Training Details 
Data Sources:
sshh12/llava-gpt-multi-image-and-llava-finetune-merged
Data Volume:
744610 examples
Hardware Used:
NVIDIA RTX A6000
Input Output 
Accepted Modalities:
CLIPVisionModality
LLM NameMistral 7B LoRA Multi VisionCLIPPool LLAVA
Repository ๐Ÿค—https://huggingface.co/sshh12/Mistral-7B-LoRA-Multi-VisionCLIPPool-LLAVA 
Base Model(s)  mistralai/Mistral-7B-Instruct-v0.1   mistralai/Mistral-7B-Instruct-v0.1
Model Size7b
Required VRAM0.3 GB
Updated2026-03-29
Maintainersshh12
Instruction-BasedYes
Model Files  0.3 GB   0.4 GB
Model ArchitectureAdapter
Licenseapache-2.0
Is Biasednone
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesdown_proj|q_proj|gate_proj|k_proj|v_proj|o_proj|up_proj
LoRA Alpha16
LoRA Dropout0.05
R Param64

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Note: green Score (e.g. "73.2") means that the model is better than sshh12/Mistral-7B-LoRA-Multi-VisionCLIPPool-LLAVA.

Rank the Mistral 7B LoRA Multi VisionCLIPPool LLAVA 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 v20260328a