40 lines
1.2 KiB
Markdown
40 lines
1.2 KiB
Markdown
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---
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tags:
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- text-generation-inference
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- transformers
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- unsloth
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- llama
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datasets:
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- CohereLabs/aya_dataset
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- databricks/databricks-dolly-15k
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- OpenAssistant/oasst1
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- HuggingFaceH4/no_robots
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language:
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- en
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base_model:
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- common-pile/comma-v0.1-2t
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- dianab1729/Ada-1
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---
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# Model Card for Comma-QLoRa-IT
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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.
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dianab1729/Ada-1 (which was already SFT'd on no-robots) was used as a base to skip a step.
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- SFT on The human authored, english part from CohereLabs/aya_dataset
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- SFT on databricks/databricks-dolly-15k
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- DPO on OpenAssistant/oasst1
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All QLoRA.
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It ain't much, but it's honest work. :)
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Planning on making a much better version of this, I'm just learning on this rn.
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# Uploaded finetuned model
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- **Finetuned from model :** dianab1729/Ada-1
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This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
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