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Llava V1.6 Vicuna 7B GGUF by second-state

 »  All LLMs  »  second-state  »  Llava V1.6 Vicuna 7B GGUF   URL Share it on

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  Autotrain compatible Base model:liuhaotian/llava-v1... Base model:quantized:liuhaotia...   Gguf   Llava   Q2   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/second-state/Llava-v1.6-Vicuna-7B-GGUF 

Llava V1.6 Vicuna 7B GGUF Benchmarks

LLME Score: 0.17963
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 Vicuna 7B GGUF (second-state/Llava-v1.6-Vicuna-7B-GGUF)

Llava V1.6 Vicuna 7B GGUF Parameters and Internals

Model Type 
text-generation
Additional Notes 
Quantized models are provided with various quality and size trade-offs for different use cases. Models are optimized using LlamaEdge and quantized by Second State Inc.
LLM NameLlava V1.6 Vicuna 7B GGUF
Repository 🤗https://huggingface.co/second-state/Llava-v1.6-Vicuna-7B-GGUF 
Model NameLlava v1.6 Vicuna 7B
Model Creatorliuhaotian
Base Model(s)  liuhaotian/llava-v1.6-vicuna-7b   liuhaotian/llava-v1.6-vicuna-7b
Model Size7b
Required VRAM0.6 GB
Updated2025-01-14
Maintainersecond-state
Model Typellava
Model Files  2.5 GB   3.6 GB   3.3 GB   3.0 GB   3.8 GB   4.1 GB   3.9 GB   4.7 GB   4.8 GB   4.7 GB   5.5 GB   7.2 GB   0.6 GB
GGUF QuantizationYes
Quantization Typegguf|q2|q4_k|q5_k
Model ArchitectureLlavaLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.36.2
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than second-state/Llava-v1.6-Vicuna-7B-GGUF.

Rank the Llava V1.6 Vicuna 7B GGUF 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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