Update README.md

README.md

@@ -10,8 +10,9 @@ language:
 [<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:
-This fine tune was done on the "early" version of tinyllama which suffers from a bug in dataset processing. See https://github.com/jzhang38/TinyLlama/issues/67.
-
+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
@@ -19,6 +20,9 @@ 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.