LLama2 7B Structural Prune 1.5x 128 Size by Shengkun

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  Autotrain compatible   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow

LLama2 7B Structural Prune 1.5x 128 Size Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
LLama2 7B Structural Prune 1.5x 128 Size (Shengkun/LLama2-7B-Structural-Prune-1.5x-128_size)

LLama2 7B Structural Prune 1.5x 128 Size Parameters and Internals

LLM NameLLama2 7B Structural Prune 1.5x 128 Size
Repository ๐Ÿค—https://huggingface.co/Shengkun/LLama2-7B-Structural-Prune-1.5x-128_size 
Model Size7b
Required VRAM23.1 GB
Updated2025-02-18
MaintainerShengkun
Model Typellama
Model Files  4.9 GB: 1-of-5   5.0 GB: 2-of-5   5.0 GB: 3-of-5   5.0 GB: 4-of-5   3.2 GB: 5-of-5
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.40.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than Shengkun/LLama2-7B-Structural-Prune-1.5x-128_size.

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