|
--- |
|
base_model: decapod-research/Antares-11b-v1 |
|
license: cc-by-nc-4.0 |
|
datasets: |
|
- jondurbin/bagel-v0.3 |
|
--- |
|
|
|
Fine-tune of Upstage AI's SOLAR-10.7B-Instruct-v1.0 model, using the OpenHermes, Platypus, and Capybara datasets. Additionally fine-tuned on Jon Durbin's Bagel v0.3, plus a few unreleased datasets. |
|
|
|
Fine-tuned on 8x4090s for 1.25 epochs. |
|
|
|
|
|
### Model Sources [optional] |
|
|
|
- **Repository:** TBD |
|
- **Demo:** TBD |
|
|
|
## Bias, Risks, and Limitations |
|
|
|
This fine-tune has had zero alignment, safety data, or anything else shoved down it's throat. |
|
|
|
## Training Details |
|
|
|
### Training Data |
|
|
|
See the sidebar for links to the relevant datasets. |
|
|
|
### Training Procedure |
|
|
|
Trained using QLORA via the Axolotl tool. |
|
|
|
## Evaluation |
|
|
|
TBD |
|
|
|
## 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: bfloat16 |
|
|
|
### Framework versions |
|
|
|
- PEFT 0.6.0 |
|
|
