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Llama 3.2 11B Vision Instruct FP8 Dynamic by neuralmagic

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Model Card on HF 🤗: https://huggingface.co/neuralmagic/Llama-3.2-11B-Vision-Instruct-FP8-dynamic 

Llama 3.2 11B Vision Instruct FP8 Dynamic Benchmarks

LLME Score: 0.25388
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3.2 11B Vision Instruct FP8 Dynamic (neuralmagic/Llama-3.2-11B-Vision-Instruct-FP8-dynamic)

Llama 3.2 11B Vision Instruct FP8 Dynamic Parameters and Internals

Model Type 
text generation, multimodal
Use Cases 
Areas:
commercial, research
Primary Use Cases:
assistant-like chat
Limitations:
Use in any manner that violates applicable laws or regulations (including trade compliance laws). Use in languages other than English.
Additional Notes 
Quantized version of Llama-3.2-11B-Vision-Instruct with FP8 weight and activation quantization, reducing memory usage.
Supported Languages 
en (high), de (high), fr (high), it (high), pt (high), hi (high), es (high), th (high)
Input Output 
Accepted Modalities:
text, image
Output Format:
text
Release Notes 
Version:
1.0
Date:
9/25/2024
LLM NameLlama 3.2 11B Vision Instruct FP8 Dynamic
Repository 🤗https://huggingface.co/neuralmagic/Llama-3.2-11B-Vision-Instruct-FP8-dynamic 
Base Model(s)  meta-llama/Llama-3.2-11B-Vision-Instruct   meta-llama/Llama-3.2-11B-Vision-Instruct
Model Size11b
Required VRAM12.6 GB
Updated2025-04-08
Maintainerneuralmagic
Model Typemllama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-3   5.0 GB: 2-of-3   2.6 GB: 3-of-3
Supported Languagesen de fr it pt hi es th
Model ArchitectureMllamaForConditionalGeneration
Licensellama3.2
Model Max Length131072
Transformers Version4.46.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than neuralmagic/Llama-3.2-11B-Vision-Instruct-FP8-dynamic.

Rank the Llama 3.2 11B Vision Instruct FP8 Dynamic 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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