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Llama 3.1 8B Experimental 1208 Instruct by sethuiyer

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Base model:finetune:unsloth/me... Base model:unsloth/meta-llama-...   Instruct   Llama   Model-index   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/sethuiyer/Llama-3.1-8B-Experimental-1208-Instruct 

Llama 3.1 8B Experimental 1208 Instruct Benchmarks

MMLU Pro: 27.9
GPQA: 6.15
MUSR: 7.61
BBH: 29.49
IFEval: 61 vs 88 (so35)-30.7%
MATH Lvl 5: 8.91
LLME Score: 0.29189
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3.1 8B Experimental 1208 Instruct (sethuiyer/Llama-3.1-8B-Experimental-1208-Instruct)

Llama 3.1 8B Experimental 1208 Instruct Parameters and Internals

LLM NameLlama 3.1 8B Experimental 1208 Instruct
Repository 🤗https://huggingface.co/sethuiyer/Llama-3.1-8B-Experimental-1208-Instruct 
Base Model(s)  unsloth/Meta-Llama-3.1-8B   unsloth/Meta-Llama-3.1-8B
Model Size8b
Required VRAM16.1 GB
Updated2025-01-20
Maintainersethuiyer
Model Typellama
Instruction-BasedYes
Model Files  1.1 GB: 1-of-17   1.1 GB: 2-of-17   1.0 GB: 3-of-17   1.0 GB: 4-of-17   1.0 GB: 5-of-17   0.9 GB: 6-of-17   1.0 GB: 7-of-17   1.0 GB: 8-of-17   1.0 GB: 9-of-17   0.9 GB: 10-of-17   1.0 GB: 11-of-17   1.0 GB: 12-of-17   1.0 GB: 13-of-17   0.9 GB: 14-of-17   1.0 GB: 15-of-17   1.0 GB: 16-of-17   0.2 GB: 17-of-17
Model ArchitectureLlamaForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.48.0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than sethuiyer/Llama-3.1-8B-Experimental-1208-Instruct.

Rank the Llama 3.1 8B Experimental 1208 Instruct 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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