Update README.md

README.md

@@ -22,8 +22,11 @@ The TinyLlama project aims to **pretrain** a **1.1B Llama model on 3 trillion to
 We adopted exactly the same architecture and tokenizer as Llama 2. This means TinyLlama can be plugged and played in many open-source projects built upon Llama. Besides, TinyLlama is compact with only 1.1B parameters. This compactness allows it to cater to a multitude of applications demanding a restricted computation and memory footprint.
 
 #### This Model
-This is an intermediate checkpoint with 240K steps and 503B tokens. **We suggest you not use this directly for inference.** The [chat model](https://huggingface.co/PY007/TinyLlama-1.1B-Chat-v0.1) is always preferred **
+This is a code LM finetuned(or so-called continue pretrianed) from the 500B TinyLlama checkpoint with another 7B Python data from the starcoderdata.
 
+While the finetuning data is exclusively Python, the model retains its ability in many other languages such as C or Java.
+
+The HumanEval accuracy is **14**.
 
 #### How to use
 You will need the transformers>=4.31