Update README.md

README.md

@@ -10,7 +10,7 @@
 Inference of [LLaMA](https://arxiv.org/abs/2302.13971) model in pure C/C++
 
 ### Hot topics
-- ‼️ BPE tokenizer update: existing Falcon and Starcoder `.gguf` models will need to be reconverted
+- ‼️ BPE tokenizer update: existing Falcon and Starcoder `.gguf` models will need to be reconverted: [#3252](https://github.com/ggerganov/llama.cpp/pull/3252)
 - ‼️ Breaking change: `rope_freq_base` and `rope_freq_scale` must be set to zero to use the model default values: [#3401](https://github.com/ggerganov/llama.cpp/pull/3401)
 - Parallel decoding + continuous batching support added: [#3228](https://github.com/ggerganov/llama.cpp/pull/3228) \
   **Devs should become familiar with the new API**
@@ -208,18 +208,19 @@ https://user-images.githubusercontent.com/1991296/224442907-7693d4be-acaa-4e01-8
 
 ## Usage
 
-#### **Quickstart:**
+### Quickstart
 You will find prebuilt Windows binaries on the release page.
 
-Simply download and extract the zip package of choice (e.g. `llama-b1380-bin-win-avx2-x64.zip`)
+Simply download and extract the latest zip package of choice: (e.g. `llama-b1380-bin-win-avx2-x64.zip`)
 
-From the unzipped folder, open a terminal/cmd window here and place a pre-converted .`gguf` model file. Test out the main example like so:
+From the unzipped folder, open a terminal/cmd window here and place a pre-converted `.gguf` model file. Test out the main example like so:
 
 ```
 .\main -m llama-2-7b.Q4_0.gguf -n 128
 ```
 
-#### **Build:**
+### Full Instructions
+
 Here are the end-to-end binary build and model conversion steps for the LLaMA-7B model.
 
 ### Get the Code