use yi 6b, 6b-200k does not fit

app.py

@@ -147,10 +147,10 @@ print("Downloading Mistral 7B Instruct")
 hf_hub_download(repo_id="TheBloke/Mistral-7B-Instruct-v0.1-GGUF", local_dir=".", filename="mistral-7b-instruct-v0.1.Q5_K_M.gguf")
 mistral_model_path="./mistral-7b-instruct-v0.1.Q5_K_M.gguf"
 
-print("Downloading Yi-6B-200k")
-#Yi-6B-200K
-hf_hub_download(repo_id="TheBloke/Yi-6B-200K-GGUF", local_dir=".", filename="yi-6b-200k.Q5_K_M.gguf")
-yi_model_path="./yi-6b-200k.Q5_K_M.gguf"
+print("Downloading Yi-6B")
+#Yi-6B
+hf_hub_download(repo_id="TheBloke/Yi-6B-GGUF", local_dir=".", filename="yi-6b.Q5_K_M.gguf")
+yi_model_path="./yi-6b.Q5_K_M.gguf"
 
 
 from llama_cpp import Llama
@@ -803,7 +803,7 @@ It relies on following models :
 Speech to Text : [Whisper-large-v2](https://sanchit-gandhi-whisper-large-v2.hf.space/) as an ASR model, to transcribe recorded audio to text. It is called through a [gradio client](https://www.gradio.app/docs/client).
 LLM Mistral    : [Mistral-7b-instruct](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1) as the chat model, GGUF Q5_K_M quantized version used locally via llama_cpp[huggingface_hub](TheBloke/Mistral-7B-Instruct-v0.1-GGUF).
 LLM Zephyr     : [Zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta) as the chat model. GGUF Q5_K_M quantized version used locally via llama_cpp from [huggingface.co/TheBloke](https://huggingface.co/TheBloke/zephyr-7B-beta-GGUF).
-LLM Yi         : [Yi-6B-200K](https://huggingface.co/01-ai/Yi-6B-200K) as the chat model. GGUF Q5_K_M quantized version used locally via llama_cpp from [huggingface.co/TheBloke](https://huggingface.co/TheBloke/Yi-6B-200K-GGUF).
+LLM Yi         : [Yi-6B](https://huggingface.co/01-ai/Yi-6B) as the chat model. GGUF Q5_K_M quantized version used locally via llama_cpp from [huggingface.co/TheBloke](https://huggingface.co/TheBloke/Yi-6B-GGUF).
 Text to Speech : [Coqui's XTTS V2](https://huggingface.co/spaces/coqui/xtts) as a Multilingual TTS model, to generate the chatbot answers. This time, the model is hosted locally.
 
 Note: