Llama 3.2 3B Smart V1 Lora by bunnycore

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  4bit Dataset:novasky-ai/sky-t1 data...   En   Endpoints compatible   Instruct   Llama   Lora   Quantized   Region:us   Safetensors   Trl   Unsloth

Llama 3.2 3B Smart V1 Lora Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3.2 3B Smart V1 Lora (bunnycore/Llama-3.2-3B-Smart-v1-lora)

Llama 3.2 3B Smart V1 Lora Parameters and Internals

LLM NameLlama 3.2 3B Smart V1 Lora
Repository ๐Ÿค—https://huggingface.co/bunnycore/Llama-3.2-3B-Smart-v1-lora 
Base Model(s)  unsloth/llama-3.2-3b-instruct-bnb-4bit   unsloth/llama-3.2-3b-instruct-bnb-4bit
Model Size3b
Required VRAM0.1 GB
Updated2025-02-05
Maintainerbunnycore
Instruction-BasedYes
Model Files  0.1 GB
Supported Languagesen
Quantization Type4bit
Model ArchitectureAutoModel
Licenseapache-2.0
Model Max Length131072
Is Biasednone
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesgate_proj|v_proj|k_proj|down_proj|up_proj|q_proj|o_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 bunnycore/Llama-3.2-3B-Smart-v1-lora.

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