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Meta Llama 3 8B Ft Instruct by yjkim104906

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  Arxiv:1910.09700   Autotrain compatible   Conversational   Endpoints compatible   Gguf   Instruct   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Meta Llama 3 8B Ft Instruct Benchmarks

ARC: 59.64 vs 96.7 (so35)-38.3%
HellaSwag: 78.84 vs 95.3 (gpt4)-17.3%
MMLU: 65.06 vs 88.3 (so35)-26.3%
TruthfulQA: 50.17 vs 59 (gpt4)-15%
WinoGrande: 74.98 vs 87.5 (gpt4)-14.3%
GSM8K: 57.32 vs 96.4 (so35)-40.5%
LLME Score: 0.24265
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 8B Ft Instruct Parameters and Internals

LLM NameMeta Llama 3 8B Ft Instruct
Repository 🤗https://huggingface.co/yjkim104906/Meta-Llama-3-8B-ft-Instruct 
Base Model(s)  mpasila/Meta-Llama-3-11.5B-Instruct   mpasila/Meta-Llama-3-11.5B-Instruct
Model Size8b
Required VRAM32.1 GB
Updated2024-09-16
Maintaineryjkim104906
Model Typellama
Instruction-BasedYes
Model Files  16.1 GB   32.1 GB   8.5 GB   4.9 GB: 1-of-7   4.8 GB: 2-of-7   5.0 GB: 3-of-7   5.0 GB: 4-of-7   4.8 GB: 5-of-7   5.0 GB: 6-of-7   2.6 GB: 7-of-7
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.41.2
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typefloat32
Meta Llama 3 8B Ft Instruct (yjkim104906/Meta-Llama-3-8B-ft-Instruct)

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Note: green Score (e.g. "73.2") means that the model is better than yjkim104906/Meta-Llama-3-8B-ft-Instruct.

Rank the Meta Llama 3 8B Ft 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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