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Llama 3 70B Instruct AWQ by casperhansen

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Llama 3 70B Instruct AWQ is an open-source language model by casperhansen. Features: 70b LLM, VRAM: 39.9GB, Context: 8K, Quantized, Instruction-Based, HF Score: 67.4, LLM Explorer Score: 0.2, Arc: 70.9, HellaSwag: 87.5, MMLU: 69.8, TruthfulQA: 61, WinoGrande: 82.9, GSM8K: 32.2.

  4-bit   Awq   Conversational   Deploy:azure   Endpoints compatible   Instruct   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/casperhansen/llama-3-70b-instruct-awq 

Llama 3 70B Instruct AWQ Benchmarks

ARC: 70.9 vs 96.7 (so35)-26.7%
HellaSwag: 87.48 vs 95.3 (gpt4)-8.2%
MMLU: 69.8 vs 88.3 (so35)-21%
TruthfulQA: 60.97 vs 59 (gpt4)3.3%
WinoGrande: 82.87 vs 87.5 (gpt4)-5.3%
GSM8K: 32.22 vs 96.4 (so35)-66.6%
LLME Score: 0.19798
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 AWQ (casperhansen/llama-3-70b-instruct-awq)
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Llama 3 70B Instruct AWQ Parameters and Internals

LLM NameLlama 3 70B Instruct AWQ
Repository 🤗https://huggingface.co/casperhansen/llama-3-70b-instruct-awq 
Base Model(s)  Llama 3 70B Instruct 32K   maywell/Llama-3-70B-Instruct-32k
Model Size70b
Required VRAM39.9 GB
Updated2026-04-27
Maintainercasperhansen
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
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.40.0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than casperhansen/llama-3-70b-instruct-awq.

Rank the Llama 3 70B Instruct 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  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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