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Llava V1.6 34B Finetune by nyanko7

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  Autotrain compatible   Conversational   Finetuned   Llava   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/nyanko7/llava-v1.6-34b-finetune 

Llava V1.6 34B Finetune Benchmarks

LLME Score: 0.15389
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 34B Finetune (nyanko7/llava-v1.6-34b-finetune)
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Llava V1.6 34B Finetune Parameters and Internals

Model Type 
auto-regressive language model, transformer architecture
Additional Notes 
The model has a tendency to repeat words due to unclean conversation data. It is not well-trained, merely serving as a demonstration of fine-tuning potential. Fine-tuned for enhancing detail capturing and summarizing.
Training Details 
Data Sources:
50K GPT-4V multimodal instruction-following data, 1K anime-captioning-task-oriented VQA data mixture
Methodology:
fine-tuning
Model Architecture:
transformer
LLM NameLlava V1.6 34B Finetune
Repository 🤗https://huggingface.co/nyanko7/llava-v1.6-34b-finetune 
Model Size34b
Required VRAM69.9 GB
Updated2025-07-25
Maintainernyanko7
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 Version4.39.2
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 nyanko7/llava-v1.6-34b-finetune.

Rank the Llava V1.6 34B Finetune 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 v20241124
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