license: other | |
library_name: peft | |
base_model: TheBloke/Llama-2-13B-fp16 | |
## Training procedure | |
The following `bitsandbytes` quantization config was used during training: | |
- quant_method: bitsandbytes | |
- load_in_8bit: True | |
- load_in_4bit: False | |
- 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: bfloat16 | |
### Framework versions | |
- PEFT 0.5.0 | |
I'm NOT the author of this work. | |
I cite anon : | |
```shell | |
Storytelling-V2 Qlora. Trained on base Llama-2-13B, works on every L2 13B. | |
150.5MB of books. Over ten thousand 4096 token samples. | |
*** for separating chapters, ⁂ for separating books. | |
``` | |
Credit to "anon49" |