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typhoon_thai_alpaca_qlora – AI Model by nakcnx | AlphaNeural AI
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Thaweewat/alpaca-cleaned-52k-th
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Model Description
Typhoon-7b
QLoRA Finetune by unsloth with
Thai Alpaca
dataset.
Training Hyperparameters
The following
bitsandbytes
quantization config was used during training:
r = 64
lora_alpha = 16
lora_dropout = 0.05
quant_method: bitsandbytes
load_in_8bit: False
load_in_4bit: True
llm_int8_threshold: 6.0
llm_int8_skip_modules: None
llm_int8_enable_fp32_cpu_offload: False
llm_int8_has_fp16_weight: False
bnb_4bit_quant_type: nf4
bnb_4bit_use_double_quant: True
bnb_4bit_compute_dtype: float16
Loss
Step Training Loss
2500 1.241900
5000 1.123600
7500 1.014600
10000 0.902200
12500 0.906500
15000 0.683900
17500 0.650900
20000 0.584800
22500 0.385100
25000 0.384100
Framework versions
PEFT 0.7.0