SparseLlama 3 8B Pruned 50.2of4 by RedHatAI

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  Arxiv:1905.07830   Arxiv:1907.10641   Arxiv:1911.01547   Arxiv:2009.03300   Arxiv:2109.07958   Arxiv:2110.14168   Arxiv:2301.00774   Arxiv:2310.06927   Autotrain compatible Base model:finetune:meta-llama... Base model:meta-llama/meta-lla...   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Sparse   Tensorflow

SparseLlama 3 8B Pruned 50.2of4 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SparseLlama 3 8B Pruned 50.2of4 (RedHatAI/SparseLlama-3-8B-pruned_50.2of4)

SparseLlama 3 8B Pruned 50.2of4 Parameters and Internals

LLM NameSparseLlama 3 8B Pruned 50.2of4
Repository ๐Ÿค—https://huggingface.co/RedHatAI/SparseLlama-3-8B-pruned_50.2of4 
Base Model(s)  Meta Llama 3 8B   meta-llama/Meta-Llama-3-8B
Model Size8b
Required VRAM16.1 GB
Updated2025-06-01
MaintainerRedHatAI
Model Typellama
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.39.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than RedHatAI/SparseLlama-3-8B-pruned_50.2of4.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227