Mistral 7B LoRA ImageBind LLAVA by sshh12

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  Autotrain compatible Base model:finetune:mistralai/... Base model:mistralai/mistral-7...   Finetuned   Instruct   Lora   Mistral-lmm   Multimodal   Region:us

Mistral 7B LoRA ImageBind 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 ImageBind LLAVA (sshh12/Mistral-7B-LoRA-ImageBind-LLAVA)
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Mistral 7B LoRA ImageBind LLAVA Parameters and Internals

Model Type 
finetuned, multimodal
Training Details 
Data Sources:
sshh12/imagebind-llava-finetune
Data Volume:
235163 examples
Hardware Used:
NVIDIA GeForce RTX 4090
Model Architecture:
PeftModelForCausalLM
Input Output 
Accepted Modalities:
ImageBindModality
LLM NameMistral 7B LoRA ImageBind LLAVA
Repository ๐Ÿค—https://huggingface.co/sshh12/Mistral-7B-LoRA-ImageBind-LLAVA 
Base Model(s)  mistralai/Mistral-7B-Instruct-v0.1   mistralai/Mistral-7B-Instruct-v0.1
Model Size7b
Required VRAM0.2 GB
Updated2025-09-23
Maintainersshh12
Instruction-BasedYes
Model Files  0.3 GB   0.2 GB
Model ArchitectureAutoModelForCausalLM
Licenseapache-2.0
Is Biasednone
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesup_proj|q_proj|o_proj|gate_proj|down_proj|k_proj|v_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-ImageBind-LLAVA.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124