license: apache-2.0
datasets:
- Open-Orca/OpenOrca
- bigcode/starcoderdata
- cerebras/SlimPajama-627B
language:
- en
Base model:
https://huggingface.co/TinyLlama/tinyLlama-intermediate-checkpoints/tree/step-720k-token-1510B 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. Through it suffers from the glitch, its performance seems not being damaged and still showing improvement(metrics needed)
Dataset:
Fine tuned on OpenOrca GPT4 subset for 1 epoch,Using CHATML format
Model License:
Apache 2.0, following the TinyLlama base model.
Quantisation:
GGUF format:https://huggingface.co/s3nh/jeff31415-TinyLlama-1.1B-1.5T-OpenOrca-Alpha-GGUF
Hardware and training details:
Hardware: 1*RTX A5000, ~16 hours to complete 1 epoch. GPU from autodl.com, cost around $3 for this finetuning. https://wandb.ai/jeff200402/TinyLlama-1.5T-alpha-Orca?workspace= for more details.