Downloads · 30 days
5
17% of all-time downloads
finetune_code_alpaca_20k
jamesliu23/finetune_code_alpaca_20k
finetune_code_alpaca_20k is a machine learning model from jamesliu23. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft.
The following bitsandbytes quantization config was used during training: - quantmethod: bitsandbytes - loadin8bit: False - loadin4bit: True - llmint8threshold: 6.0 - llmint8skipmodules: None - llmint8enablefp32cpuoffl…
All-time downloads
29
Public
Repo size
10.7 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin10.7 MB · 100%
At a glance
- Library
- peft
- Access
- Public
- Created
- Sep 1, 2023
- Updated
- Sep 1, 2023
- SHA
- 62acebb1
Model card
From the Hugging Face model README
Training procedure
The following bitsandbytes quantization config was used during training:
- 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
The following bitsandbytes quantization config was used during training:
- 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
Framework versions
-
PEFT 0.5.0
-
PEFT 0.5.0
- Library
- peft
- Created
- Sep 1, 2023
- Updated
- Sep 1, 2023