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Llava V1.6 Mistral 7B by liuhaotian

 »  All LLMs  »  liuhaotian  »  Llava V1.6 Mistral 7B   URL Share it on

  27446   
  Autotrain compatible   Conversational   Image-text-to-text   Instruct   Llava mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/liuhaotian/llava-v1.6-mistral-7b 

Llava V1.6 Mistral 7B Benchmarks

LLME Score: 0.2308
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llava V1.6 Mistral 7B (liuhaotian/llava-v1.6-mistral-7b)

Llava V1.6 Mistral 7B Parameters and Internals

Model Type 
open-source chatbot, auto-regressive language model, transformer architecture
Use Cases 
Areas:
research on large multimodal models, chatbots
Training Details 
Data Sources:
LAION/CC/SBU, BLIP, GPT-generated multimodal instruction-following data, academic-task-oriented VQA data, GPT-4V data, ShareGPT data
Model Architecture:
transformer architecture
LLM NameLlava V1.6 Mistral 7B
Repository 🤗https://huggingface.co/liuhaotian/llava-v1.6-mistral-7b 
Model Size7b
Required VRAM15.1 GB
Updated2025-04-29
Maintainerliuhaotian
Model Typellava_mistral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   0.3 GB: 4-of-4   0.0 GB
Model ArchitectureLlavaMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

Quantized Models of the Llava V1.6 Mistral 7B

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VRAM
Candle Llava V1.6 Mistral 7B021915 GB

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Rank the Llava V1.6 Mistral 7B 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 v20241227
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