初始化项目，由ModelHub XC社区提供模型

Model: jeff31415/TinyLlama-1.1B-1.5T-OpenOrca-Alpha
Source: Original Platform

README.md

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+---
+license: apache-2.0
+datasets:
+- Open-Orca/OpenOrca
+- bigcode/starcoderdata
+- cerebras/SlimPajama-627B
+language:
+- en
+---
+[<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)
+
+#### 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.