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Llama 3.3 70B Instruct AutoRound GPTQ 4bit by kaitchup

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Model Card on HF 🤗: https://huggingface.co/kaitchup/Llama-3.3-70B-Instruct-AutoRound-GPTQ-4bit 

Llama 3.3 70B Instruct AutoRound GPTQ 4bit Benchmarks

LLME Score: 0.21697
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3.3 70B Instruct AutoRound GPTQ 4bit (kaitchup/Llama-3.3-70B-Instruct-AutoRound-GPTQ-4bit)
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Llama 3.3 70B Instruct AutoRound GPTQ 4bit Parameters and Internals

LLM NameLlama 3.3 70B Instruct AutoRound GPTQ 4bit
Repository 🤗https://huggingface.co/kaitchup/Llama-3.3-70B-Instruct-AutoRound-GPTQ-4bit 
Model Size70b
Required VRAM39.9 GB
Updated2025-09-23
Maintainerkaitchup
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
GPTQ QuantizationYes
Quantization Typegptq|4bit
Model ArchitectureLlamaForCausalLM
Licensellama3.3
Context Length131072
Model Max Length131072
Transformers Version4.47.0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256
Torch Data Typefloat16

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Release v20241124
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