Sparse Llama 3.1 8B Gsm8k 2of4 by neuralmagic

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Sparse Llama 3.1 8B Gsm8k 2of4 is an open-source language model by neuralmagic. Features: 8b LLM, VRAM: 16.1GB, Context: 128K, License: llama3.1, LLM Explorer Score: 0.16.

Base model:finetune:redhatai/s... Base model:redhatai/sparse-lla...   Dataset:openai/gsm8k   En   Llama   Region:us   Safetensors   Sharded   Sparsity   Tensorflow   Vllm

Sparse Llama 3.1 8B Gsm8k 2of4 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Sparse Llama 3.1 8B Gsm8k 2of4 (RedHatAI/Sparse-Llama-3.1-8B-gsm8k-2of4)
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Sparse Llama 3.1 8B Gsm8k 2of4 Parameters and Internals

LLM NameSparse Llama 3.1 8B Gsm8k 2of4
Repository ๐Ÿค—https://huggingface.co/RedHatAI/Sparse-Llama-3.1-8B-gsm8k-2of4 
Base Model(s)  neuralmagic/Sparse-Llama-3.1-8B-2of4   neuralmagic/Sparse-Llama-3.1-8B-2of4
Model Size8b
Required VRAM16.1 GB
Updated2026-04-09
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
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensellama3.1
Context Length131072
Model Max Length131072
Transformers Version4.45.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than RedHatAI/Sparse-Llama-3.1-8B-gsm8k-2of4.

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Instruction Following and Task Automation  
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Release v20260328a