diff --git a/README.md b/README.md
index 228ee67..ec27336 100644
--- a/README.md
+++ b/README.md
@@ -297,9 +297,13 @@ print(generated_text)
 
 ## 6. FAQ
 
-### Could You Provide the tokenizer.model File for GGUF Model Quantization?
+### Could You Provide the tokenizer.model File for Model Quantization?
 
-DeepSeek LLM utilizes the [HuggingFace Tokenizer](https://huggingface.co/docs/tokenizers/index) to implement the Bytelevel-BPE algorithm, with specially designed pre-tokenizers to ensure optimal performance. Currently, there is no direct way to convert the tokenizer into a SentencePiece tokenizer. We have submitted a [PR](https://github.com/ggerganov/llama.cpp/pull/4070) to the popular quantization repository [llama.cpp](https://github.com/ggerganov/llama.cpp) to fully support all HuggingFace pre-tokenizers, including ours.
+DeepSeek Coder utilizes the [HuggingFace Tokenizer](https://huggingface.co/docs/tokenizers/index) to implement the Bytelevel-BPE algorithm, with specially designed pre-tokenizers to ensure optimal performance. Currently, there is no direct way to convert the tokenizer into a SentencePiece tokenizer. We are contributing to the open-source quantization methods facilitate the usage of HuggingFace Tokenizer.
+
+#### GGUF(llama.cpp)
+
+We have submitted a [PR](https://github.com/ggerganov/llama.cpp/pull/4070) to the popular quantization repository [llama.cpp](https://github.com/ggerganov/llama.cpp) to fully support all HuggingFace pre-tokenizers, including ours.
 
 While waiting for the PR to be merged, you can generate your GGUF model using the following steps:
 
@@ -311,11 +315,17 @@ git checkout regex_gpt2_preprocess
 make
 python3 -m pip install -r requirements.txt
 # generate GGUF model
-python convert-hf-to-gguf.py <MODEL_PATH> --outfile <GGUF_PATH> --model-name deepseekcoder
+python convert-hf-to-gguf.py <MODEL_PATH> --outfile <GGUF_PATH> --model-name deepseekllm
 # use q4_0 quantization as an example
 ./quantize <GGUF_PATH> <OUTPUT_PATH> q4_0
 ./main -m <OUTPUT_PATH> -n 128 -p <PROMPT>
 ```
+#### GPTQ(exllamav2)
+
+`UPDATE:`[exllamav2](https://github.com/turboderp/exllamav2) has been able to support Huggingface Tokenizer. Please pull the latest version and try out.
+
+Remeber to set RoPE scaling to 4 for correct output, more discussion could be found in this [PR](https://github.com/turboderp/exllamav2/pull/189).
+
 
 ## 7. Limitation