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LLama2 7B Structural Prune 2.25x 32 20kCalib by Shengkun

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  Autotrain compatible   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Shengkun/LLama2-7B-Structural-Prune-2.25x-32-20kCalib 

LLama2 7B Structural Prune 2.25x 32 20kCalib Benchmarks

LLME Score: 0.19051
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 2.25x 32 20kCalib (Shengkun/LLama2-7B-Structural-Prune-2.25x-32-20kCalib)

LLama2 7B Structural Prune 2.25x 32 20kCalib Parameters and Internals

LLM NameLLama2 7B Structural Prune 2.25x 32 20kCalib
Repository 🤗https://huggingface.co/Shengkun/LLama2-7B-Structural-Prune-2.25x-32-20kCalib 
Model Size7b
Required VRAM13.5 GB
Updated2025-02-18
MaintainerShengkun
Model Typellama
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   3.6 GB: 3-of-3
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.40.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Shengkun/LLama2-7B-Structural-Prune-2.25x-32-20kCalib.

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