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Llama 3.3 70B Instruct AutoRound GPTQ 4bit by Satwik11

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  4-bit   4bit   Autoregressive   Autotrain compatible Base model:meta-llama/llama-3.... Base model:quantized:meta-llam...   Conversational Dataset:meta-llama/llama-3.3-7...   Endpoints compatible   Gptq   Instruct   Llama   Quantization   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Satwik11/Llama-3.3-70B-Instruct-AutoRound-GPTQ-4bit 

Llama 3.3 70B Instruct AutoRound GPTQ 4bit Benchmarks

LLME Score: 0.3015
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 (Satwik11/Llama-3.3-70B-Instruct-AutoRound-GPTQ-4bit)

Llama 3.3 70B Instruct AutoRound GPTQ 4bit Parameters and Internals

LLM NameLlama 3.3 70B Instruct AutoRound GPTQ 4bit
Repository 🤗https://huggingface.co/Satwik11/Llama-3.3-70B-Instruct-AutoRound-GPTQ-4bit 
Base Model(s)  meta-llama/Llama-3.3-70B-Instruct   meta-llama/Llama-3.3-70B-Instruct
Model Size70b
Required VRAM39.9 GB
Updated2024-12-21
MaintainerSatwik11
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
GPTQ QuantizationYes
Quantization Typegptq|4bit
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length131072
Model Max Length131072
Transformers Version4.47.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Satwik11/Llama-3.3-70B-Instruct-AutoRound-GPTQ-4bit.

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Release v20241217
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