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Llama 3 70B Instruct Gradient 1048K AWQ by starsy

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Llama 3 70B Instruct Gradient 1048K AWQ Benchmarks

ARC: 66.81 vs 96.7 (so35)-30.9%
HellaSwag: 85.46 vs 95.3 (gpt4)-10.3%
MMLU: 76.37 vs 88.3 (so35)-13.5%
TruthfulQA: 53.73 vs 59 (gpt4)-8.9%
WinoGrande: 82.64 vs 87.5 (gpt4)-5.6%
GSM8K: 78.85 vs 96.4 (so35)-18.2%
LLME Score: 0.22613
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Llama 3 70B Instruct Gradient 1048K AWQ Parameters and Internals

LLM NameLlama 3 70B Instruct Gradient 1048K AWQ
Repository 🤗https://huggingface.co/starsy/Llama-3-70B-Instruct-Gradient-1048k-AWQ 
Base Model(s)  ... 3 70B Instruct Gradient 1048K   gradientai/Llama-3-70B-Instruct-Gradient-1048k
Model Size70b
Required VRAM39.9 GB
Updated2024-09-07
Maintainerstarsy
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-9   4.9 GB: 2-of-9   4.9 GB: 3-of-9   4.9 GB: 4-of-9   4.9 GB: 5-of-9   4.9 GB: 6-of-9   4.9 GB: 7-of-9   3.4 GB: 8-of-9   2.1 GB: 9-of-9
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length1048576
Model Max Length1048576
Transformers Version4.40.2
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typefloat16
Llama 3 70B Instruct Gradient 1048K AWQ (starsy/Llama-3-70B-Instruct-Gradient-1048k-AWQ)

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Note: green Score (e.g. "73.2") means that the model is better than starsy/Llama-3-70B-Instruct-Gradient-1048k-AWQ.

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Instruction Following and Task Automation  
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Release v2024072803
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