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 :

Eh whatever. That storytelling-instruct was shit as shit, so have the V2.1 regular completion retrain I did a while back. Works great as a merge with base Llama2, or on top of instructs.
I'm going to completely refactor my dataset for a potential V3.

Credit to "anon49"

Sorry bro, it completely got under my radar, fixed!