Finetuned LlaVa Mistral Dermnet by Thesiss

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Finetuned LlaVa Mistral Dermnet is an open-source language model by Thesiss. Features: 7.6b LLM, VRAM: 15.7GB, Context: 32K, Fine-Tuned, LLM Explorer Score: 0.14.

  Arxiv:1910.09700   Autotrain compatible   Conversational   Endpoints compatible   Finetuned   Llava mistral   Region:us   Safetensors   Sharded   Tensorflow

Finetuned LlaVa Mistral Dermnet Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Finetuned LlaVa Mistral Dermnet (Thesiss/finetuned_LlaVa_Mistral_dermnet)
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Finetuned LlaVa Mistral Dermnet Parameters and Internals

LLM NameFinetuned LlaVa Mistral Dermnet
Repository ๐Ÿค—https://huggingface.co/Thesiss/finetuned_LlaVa_Mistral_dermnet 
Model Size7.6b
Required VRAM15.7 GB
Updated2025-09-23
MaintainerThesiss
Model Typellava_mistral
Model Files  4.9 GB: 1-of-4   5.0 GB: 2-of-4   5.0 GB: 3-of-4   0.8 GB: 4-of-4
Model ArchitectureLlavaMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Rank the Finetuned LlaVa Mistral Dermnet 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