GPTQ Quantized 4bit Mcqa Llama Lora Model by beam-searchers

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  Arxiv:1910.09700   4-bit   4bit   Autotrain compatible   Conversational   Endpoints compatible   Gptq   Llama   Lora   Quantized   Region:us   Safetensors   Sharded   Tensorflow

GPTQ Quantized 4bit Mcqa Llama Lora Model Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

GPTQ Quantized 4bit Mcqa Llama Lora Model Parameters and Internals

LLM NameGPTQ Quantized 4bit Mcqa Llama Lora Model
Repository ๐Ÿค—https://huggingface.co/beam-searchers/GPTQ-quantized-4bit-mcqa-llama-lora-model 
Model Size2b
Required VRAM5.8 GB
Updated2024-08-26
Maintainerbeam-searchers
Model Files  0.2 GB   4.7 GB: 1-of-2   1.1 GB: 2-of-2
GPTQ QuantizationYes
Quantization Typegptq|4bit
Model ArchitectureAutoModelForCausalLM
Model Max Length8192
Is Biasednone
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|reserved_special_token_250|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Moduleso_proj|q_proj|v_proj|up_proj|gate_proj|k_proj|down_proj
LoRA Alpha16
LoRA Dropout0
R Param16
GPTQ Quantized 4bit Mcqa Llama Lora Model (beam-searchers/GPTQ-quantized-4bit-mcqa-llama-lora-model)

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Note: green Score (e.g. "73.2") means that the model is better than beam-searchers/GPTQ-quantized-4bit-mcqa-llama-lora-model.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803