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README.md
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datasets:
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- ehartford/dolphin
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- jondurbin/airoboros-2.2.1
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language:
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- en
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license: llama2
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Dolphin 2.2 🐬
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https://erichartford.com/dolphin
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<img src="https://cdn-uploads.huggingface.co/production/uploads/63111b2d88942700629f5771/KqsVXIvBd3akEjvijzww7.png" width="600" />
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Dolphin-2.2-70b's training was sponsored by [a16z](https://a16z.com/supporting-the-open-source-ai-community/).
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I added Jon Durbin's excellent Airoboros dataset to increase creativity.
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I added a curated subset of Samantha and WizardLM data to train it for multi-turn conversation.
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## Training
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It took 5 days to train 3 epochs on 4x A100s using qLoRA and Axolotl
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datasets:
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- ehartford/dolphin
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- jondurbin/airoboros-2.2.1
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- ehartford/samantha-data
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- WizardLM/WizardLM_evol_instruct_V2_196k
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language:
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- en
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license: llama2
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Dolphin 2.2 🐬
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https://erichartford.com/dolphin
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New in this release: The EOS token works now, and I have added multi-turn conversational data so it has learned to integrate the history with its response when appropriate.
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<img src="https://cdn-uploads.huggingface.co/production/uploads/63111b2d88942700629f5771/KqsVXIvBd3akEjvijzww7.png" width="600" />
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Dolphin-2.2-70b's training was sponsored by [a16z](https://a16z.com/supporting-the-open-source-ai-community/).
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I added Jon Durbin's excellent Airoboros dataset to increase creativity.
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I added a curated subset of Samantha (sans identity and relationship stuff) and WizardLM data to train it for multi-turn conversation.
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## Training
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It took 5 days to train 3 epochs on 4x A100s using qLoRA and Axolotl
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