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SparseLlama 3 8B Pruned 50.2of4 by neuralmagic

 »  All LLMs  »  neuralmagic  »  SparseLlama 3 8B Pruned 50.2of4   URL Share it on

  37   
  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
Model Card on HF 🤗: https://huggingface.co/neuralmagic/SparseLlama-3-8B-pruned_50.2of4 

SparseLlama 3 8B Pruned 50.2of4 Benchmarks

LLME Score: 0.19531
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 (neuralmagic/SparseLlama-3-8B-pruned_50.2of4)

SparseLlama 3 8B Pruned 50.2of4 Parameters and Internals

LLM NameSparseLlama 3 8B Pruned 50.2of4
Repository 🤗https://huggingface.co/neuralmagic/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
Updated2025-02-22
Maintainerneuralmagic
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 neuralmagic/SparseLlama-3-8B-pruned_50.2of4.

Rank the SparseLlama 3 8B Pruned 50.2of4 Capabilities

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Release v20241227
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