---
tags:
- text-generation-inference
- transformers
- unsloth
- llama
datasets:
- CohereLabs/aya_dataset
- databricks/databricks-dolly-15k
- OpenAssistant/oasst1
- HuggingFaceH4/no_robots
language:
- en
base_model:
- common-pile/comma-v0.1-2t
- dianab1729/Ada-1
---

# Model Card for Comma-QLoRa-IT

QLora instruction fine-tuning on Common-Pile's Comma-v0.1-2T model. The goal is to make a usable assistant while maintaining the goal of not using stolen data.

dianab1729/Ada-1 (which was already SFT'd on no-robots) was used as a base to skip a step. 

- SFT on The human authored, english part from CohereLabs/aya_dataset
- SFT on databricks/databricks-dolly-15k
- DPO on OpenAssistant/oasst1

All QLoRA. 
It ain't much, but it's honest work. :)

Planning on making a much better version of this, I'm just learning on this rn.

# Uploaded finetuned  model
- **Finetuned from model :** dianab1729/Ada-1

This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.

[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)