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Meta Llama 3 Instruct Pruned 6B by jan-hq

 »  All LLMs  »  jan-hq  »  Meta Llama 3 Instruct Pruned 6B   URL Share it on

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  Merged Model   Autotrain compatible Base model:finetune:meta-llama... Base model:meta-llama/meta-lla...   Conversational   Endpoints compatible   Instruct   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/jan-hq/Meta-Llama-3-Instruct-Pruned-6B 

Meta Llama 3 Instruct Pruned 6B Benchmarks

LLME Score: 0.18418
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Meta Llama 3 Instruct Pruned 6B (jan-hq/Meta-Llama-3-Instruct-Pruned-6B)

Meta Llama 3 Instruct Pruned 6B Parameters and Internals

Model Type 
pre-trained language model
Additional Notes 
This is a merge of pre-trained language models created using mergekit.
Training Details 
Methodology:
passthrough merge method
LLM NameMeta Llama 3 Instruct Pruned 6B
Repository 🤗https://huggingface.co/jan-hq/Meta-Llama-3-Instruct-Pruned-6B 
Base Model(s)  Meta Llama 3 8B Instruct   meta-llama/Meta-Llama-3-8B-Instruct
Merged ModelYes
Model Size8b
Required VRAM13.4 GB
Updated2025-02-22
Maintainerjan-hq
Model Typellama
Instruction-BasedYes
Model Files  9.9 GB: 1-of-2   3.5 GB: 2-of-2
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.40.2
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than jan-hq/Meta-Llama-3-Instruct-Pruned-6B.

Rank the Meta Llama 3 Instruct Pruned 6B 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 v20241227
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