Update README.md

README.md

@@ -7,7 +7,7 @@ lm_studio:
   use_case: coding
   release_date: 04-09-2024
   model_creator: 01-ai
-  prompt_template: 
+  prompt_template: ChatML
   base_model: Yi
   original_repo: 01-ai/Yi-Coder-9B-Chat
 ---
@@ -17,20 +17,37 @@ lm_studio:
 
 **Model creator:** [01-ai](https://huggingface.co/01-ai)<br>
 **Original model**: [Yi-Coder-9B-Chat](https://huggingface.co/01-ai/Yi-Coder-9B-Chat)<br>
-**GGUF quantization:** provided by [bartowski](https://huggingface.co/bartowski) based on `llama.cpp` release [b3634](https://github.com/ggerganov/llama.cpp/releases/tag/b3634)<br>
+**GGUF quantization:** provided by [bartowski](https://huggingface.co/bartowski) based on `llama.cpp` release [b3658](https://github.com/ggerganov/llama.cpp/releases/tag/b3658)<br>
 
 ## Model Summary:
 
-## Prompt Template:
+Yi Coder 9B Chat is a new coding model from Yi, supporting a staggering 52 programming language, and featuring a max context length of 128k, making it great for ingesting large codebases.<br>
+This model is tuned for chatting, not auto completion, so should be chatted with for programming questions.<br>
+It is the first model under 10B parameters to pass 20% on LiveCodeBench.
 
+## Prompt Template:
 
+Choose the `ChatML` preset in your LM Studio.
 Under the hood, the model will see a prompt that's formatted like so:
 
 ```
+<|im_start|>system
+You are a helpful assistant.<|im_end|>
+<|im_start|>user
+{prompt}<|im_end|>
+<|im_start|>assistant
+
 ```
 
 ## Technical Details
 
+Trained on an extensive set of languages:
+```bash
+  'java', 'markdown', 'python', 'php', 'javascript', 'c++', 'c#', 'c', 'typescript', 'html', 'go', 'java_server_pages', 'dart', 'objective-c', 'kotlin', 'tex', 'swift', 'ruby', 'sql', 'rust', 'css', 'yaml', 'matlab', 'lua', 'json', 'shell', 'visual_basic', 'scala', 'rmarkdown', 'pascal', 'fortran', 'haskell', 'assembly', 'perl', 'julia', 'cmake', 'groovy', 'ocaml', 'powershell', 'elixir', 'clojure', 'makefile', 'coffeescript', 'erlang', 'lisp', 'toml', 'batchfile', 'cobol', 'dockerfile', 'r', 'prolog', 'verilog'
+```
+
+128k context length, achieves 23% pass rate on LiveCodeBench, surpassing even some SOTA 15-33B models.
+
 ## Special thanks
 
 🙏 Special thanks to [Georgi Gerganov](https://github.com/ggerganov) and the whole team working on [llama.cpp](https://github.com/ggerganov/llama.cpp/) for making all of this possible.