Downloads · 30 days
8
16% of all-time downloads
zephyr7b_prompts
humblemikey/zephyr7b_prompts
zephyr7b_prompts is a machine learning model from humblemikey. 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.
Use the lora with HuggingFaceH4zephyr-7b-alpha model. I use it with the oobabooga's chat API in instruct mode.
All-time downloads
49
Public
Repo size
54.6 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin54.6 MB · 100%
At a glance
- Library
- peft
- Access
- Public
- Created
- Oct 25, 2023
- Updated
- Oct 25, 2023
- SHA
- b7f6b141
Model card
From the Hugging Face model README
Txt2Img LoRA for HuggingFaceH4_zephyr-7b-alpha
Use the lora with HuggingFaceH4_zephyr-7b-alpha model. I use it with the oobabooga's chat API in instruct mode.
Examples:
Training procedure
The following bitsandbytes quantization config was used during training:
- quant_method: QuantizationMethod.BITS_AND_BYTES
- 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: QuantizationMethod.BITS_AND_BYTES
- 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
- Oct 25, 2023
- Updated
- Oct 25, 2023