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Llama 3.2 11B Vision Instruct FP8 Dynamic Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Llama 3.2 11B Vision Instruct FP8 Dynamic Parameters and Internals
| LLM Name | Llama 3.2 11B Vision Instruct FP8 Dynamic |
| Repository 🤗 | https://huggingface.co/neuralmagic/Llama-3.2-11B-Vision-Instruct-FP8-dynamic |
| Base Model(s) | |
| Model Size | 11b |
| Required VRAM | 12.6 GB |
| Updated | 2024-10-11 |
| Maintainer | neuralmagic |
| Model Type | mllama |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en de fr it pt hi es th |
| Model Architecture | MllamaForConditionalGeneration |
| License | llama3.2 |
| Model Max Length | 131072 |
| Transformers Version | 4.46.0.dev0 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|finetune_right_pad_id|> |
| Torch Data Type | bfloat16 |
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803