PMSP LLaMA 8B Fine-tuned Model
Model Description
PMSP ์ต์ ํ๋ฅผ ์ํด ํ์ธํ๋๋ LLaMA 8B ๋ชจ๋ธ์ ๋๋ค.
Training Details
- Base Model: unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit
- LoRA Rank: 64
- Epochs: 2
- Max Sequence Length: 8,192
- Dataset: PMSP 25000
Usage
from unsloth import FastLanguageModel
model, tokenizer = FastLanguageModel.from_pretrained(
model_name="satgothyun/pmsp_llama8b_lora_40000_v2",
max_seq_length=8192,
load_in_4bit=True,
dtype=torch.bfloat16,
)
FastLanguageModel.for_inference(model)
Model tree for satgothyun/pmsp_llama8b_lora_40000_v2
Base model
meta-llama/Llama-3.1-8B Finetuned
meta-llama/Llama-3.1-8B-Instruct