---
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