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Llama-3-8B-Instruct-Chinese-Lora – AI Model by REILX | AlphaNeural AI
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REILX
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Llama-3-8B-Instruct-Chinese-Lora
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safetensors
text-generation-inference
llama
chat
sft
llama-factory
text-generation
en
zh
silk-road/alpaca-data-gpt4-chinese
TigerResearch/sft_zh
LooksJuicy/ruozhiba
leo009/alpaca-cleaned-zh-cn
REILX/extracted_tagengo_gpt4
llama3
us
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模型：
https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct
数据集：
https://huggingface.co/datasets/TigerResearch/sft_zh
https://huggingface.co/datasets/silk-road/alpaca-data-gpt4-chinese
https://huggingface.co/datasets/REILX/extracted_tagengo_gpt4
https://huggingface.co/datasets/LooksJuicy/ruozhiba
https://huggingface.co/datasets/leo009/alpaca-cleaned-zh-cn
（使用langid清理以上数据集，删除其中非中文资料）
训练工具
https://github.com/hiyouga/LLaMA-Factory
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 5e-05
train_batch_size: 4
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 4
total_train_batch_size: 128
total_eval_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3.0
