<table> <tr> <td style="width: 30%; text-align: left; vertical-align: middle">
CurtGPT
Using Microsoft's Phi 1.5 model like it was never intended.
</td> <td style="text-align: center;"> <img src="https://github.com/tim-a-davis/silly_little_language_modeling_thing_at_utd/blob/main/curtgpt%20logo.png?raw=true" width="300" height="auto"> </td> </tr> </table>
Main Procedure
This model is an adapter on puffin phi v2 trained using QLoRA and DPO on 60,000 samples from the anthropic helpful only dataset.
library_name: peft
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: False
- bnb_4bit_compute_dtype: float16
Framework versions
- PEFT 0.5.0