Llama3 8B Unsloth Sft Quip 2bit by acl-srw-2024

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Llama3 8B Unsloth Sft Quip 2bit Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama3 8B Unsloth Sft Quip 2bit (acl-srw-2024/llama3-8b-unsloth-sft-quip-2bit)

Llama3 8B Unsloth Sft Quip 2bit Parameters and Internals

LLM NameLlama3 8B Unsloth Sft Quip 2bit
Repository ๐Ÿค—https://huggingface.co/acl-srw-2024/llama3-8b-unsloth-sft-quip-2bit 
Model Size8b
Required VRAM0.1 GB
Updated2025-02-16
Maintaineracl-srw-2024
Model Files  0.1 GB
Quantization Type2bit
Model ArchitectureAutoModelForCausalLM
Model Max Length8192
Is Biasednone
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|reserved_special_token_250|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Moduleso_proj|gate_proj|k_proj|v_proj|q_proj|down_proj|up_proj
LoRA Alpha16
LoRA Dropout0
R Param16

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Note: green Score (e.g. "73.2") means that the model is better than acl-srw-2024/llama3-8b-unsloth-sft-quip-2bit.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227