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---
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
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