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Hf Llava V1.6 34B by dillonlaird

 »  All LLMs  »  dillonlaird  »  Hf Llava V1.6 34B   URL Share it on

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  Autotrain compatible   Conversational   Llava   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/dillonlaird/hf-llava-v1.6-34b 

Hf Llava V1.6 34B Benchmarks

LLME Score: 0.14379
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Hf Llava V1.6 34B (dillonlaird/hf-llava-v1.6-34b)
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Hf Llava V1.6 34B Parameters and Internals

Model Type 
multimodal, transformer, chatbot, auto-regressive
Use Cases 
Areas:
research
Primary Use Cases:
large multimodal models and chatbots research
Training Details 
Data Sources:
558K filtered image-text pairs from LAION/CC/SBU, captioned by BLIP, 158K GPT-generated multimodal instruction-following data, 500K academic-task-oriented VQA data mixture, 50K GPT-4V data mixture, 40K ShareGPT data
Methodology:
Fine-tuning LLM on multimodal instruction-following data
Model Architecture:
Transformer
LLM NameHf Llava V1.6 34B
Repository 🤗https://huggingface.co/dillonlaird/hf-llava-v1.6-34b 
Model Size34b
Required VRAM69.9 GB
Updated2025-07-26
Maintainerdillonlaird
Model Typellava
Model Files  4.8 GB: 1-of-15   4.8 GB: 2-of-15   5.0 GB: 3-of-15   4.8 GB: 4-of-15   4.8 GB: 5-of-15   5.0 GB: 6-of-15   4.8 GB: 7-of-15   4.8 GB: 8-of-15   5.0 GB: 9-of-15   4.8 GB: 10-of-15   4.8 GB: 11-of-15   5.0 GB: 12-of-15   4.8 GB: 13-of-15   4.8 GB: 14-of-15   1.9 GB: 15-of-15
Model ArchitectureLlavaLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size64000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than dillonlaird/hf-llava-v1.6-34b.

Rank the Hf Llava V1.6 34B 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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