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Llama 3.1 8B Pruned 4 Layers by Na0s

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  Merged Model   Autotrain compatible Base model:finetune:meta-llama... Base model:meta-llama/meta-lla...   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Na0s/Llama-3.1-8b-Pruned-4-Layers 

Llama 3.1 8B Pruned 4 Layers Benchmarks

LLME Score: 0.1985
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Llama 3.1 8B Pruned 4 Layers Parameters and Internals

Additional Notes 
This model was created using mergekit, implementing the passthrough merge method. It merges specific layers of the Meta-Llama-3.1-8B model.
LLM NameLlama 3.1 8B Pruned 4 Layers
Repository 🤗https://huggingface.co/Na0s/Llama-3.1-8b-Pruned-4-Layers 
Base Model(s)  meta-llama/Meta-Llama-3.1-8B   meta-llama/Meta-Llama-3.1-8B
Merged ModelYes
Model Size8b
Required VRAM13.9 GB
Updated2024-08-08
MaintainerNa0s
Model Typellama
Model Files  5.0 GB: 1-of-3   5.0 GB: 2-of-3   3.9 GB: 3-of-3
Model ArchitectureLlamaForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.43.3
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16
Llama 3.1 8B Pruned 4 Layers (Na0s/Llama-3.1-8b-Pruned-4-Layers)

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Note: green Score (e.g. "73.2") means that the model is better than Na0s/Llama-3.1-8b-Pruned-4-Layers.

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Release v20241124
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