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license: apache-2.0 |
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datasets: |
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- Open-Orca/OpenOrca |
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- bigcode/starcoderdata |
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- cerebras/SlimPajama-627B |
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language: |
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- en |
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[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl) |
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#### Base model: |
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https://huggingface.co/TinyLlama/tinyLlama-intermediate-checkpoints/tree/step-720k-token-1510B |
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This fine tune was done on the "early" version of tinyllama-1.5T which suffers from a bug in dataset processing. See https://github.com/jzhang38/TinyLlama/issues/67. |
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Through it suffers from the glitch, its performance seems not being damaged and still showing improvement(metrics needed) |
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#### Dataset: |
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Fine tuned on OpenOrca GPT4 subset for 1 epoch,Using CHATML format |
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#### Model License: |
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Apache 2.0, following the TinyLlama base model. |
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#### Quantisation: |
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GGUF format:https://huggingface.co/s3nh/jeff31415-TinyLlama-1.1B-1.5T-OpenOrca-Alpha-GGUF |
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#### Hardware and training details: |
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Hardware: 1*RTX A5000, ~16 hours to complete 1 epoch. GPU from autodl.com, cost around $3 for this finetuning. |
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https://wandb.ai/jeff200402/TinyLlama-1.5T-alpha-Orca?workspace= for more details. |
