Sparsegpt75sparsitymodel by shrenikb

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Sparsegpt75sparsitymodel is an open-source language model by shrenikb. Features: 7b LLM, VRAM: 13.5GB, Context: 2K, LLM Explorer Score: 0.13.

  Autotrain compatible   Endpoints compatible   Llama   Pytorch   Region:us   Sharded

Sparsegpt75sparsitymodel Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Sparsegpt75sparsitymodel Parameters and Internals

LLM NameSparsegpt75sparsitymodel
Repository 🤗https://huggingface.co/shrenikb/sparsegpt75sparsitymodel 
Model Size7b
Required VRAM13.5 GB
Updated2025-09-23
Maintainershrenikb
Model Typellama
Model Files  10.0 GB: 1-of-2   3.5 GB: 2-of-2
Model ArchitectureLlamaForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.28.0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than shrenikb/sparsegpt75sparsitymodel.

Rank the Sparsegpt75sparsitymodel 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 v20260328a