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Meta Llama 3 8B Instruct 64K AWQ by heyholetsgo

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Meta Llama 3 8B Instruct 64K AWQ 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: 0.22781
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 Instruct 64K AWQ Parameters and Internals

LLM NameMeta Llama 3 8B Instruct 64K AWQ
Repository 🤗https://huggingface.co/heyholetsgo/Meta-Llama-3-8B-Instruct-64k-awq 
Base Model(s)  ...a Llama 3 8B Instruct 64K PoSE   Azma-AI/Meta-Llama-3-8B-Instruct-64k-PoSE
Model Size8b
Required VRAM5.8 GB
Updated2024-09-07
Maintainerheyholetsgo
Model Typellama
Instruction-BasedYes
Model Files  4.7 GB: 1-of-2   1.1 GB: 2-of-2
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length65536
Model Max Length65536
Transformers Version4.37.2
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typefloat16
Meta Llama 3 8B Instruct 64K AWQ (heyholetsgo/Meta-Llama-3-8B-Instruct-64k-awq)

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Note: green Score (e.g. "73.2") means that the model is better than heyholetsgo/Meta-Llama-3-8B-Instruct-64k-awq.

Rank the Meta Llama 3 8B Instruct 64K AWQ 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  
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Release v2024072803
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