DeepSeek/DeepSeek-Coder
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Merge pull request #57 from deepseek-ai/bingxuan/dev

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@ -327,9 +327,13 @@ The reproducible code for the following evaluation results can be found in the [
### 7. Q&A ### 7. Q&A
#### Could You Provide the tokenizer.model File for GGUF Model Quantization? #### Could You Provide the tokenizer.model File for Model Quantization?
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 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: While waiting for the PR to be merged, you can generate your GGUF model using the following steps:
@ -346,7 +350,9 @@ python convert-hf-to-gguf.py <MODEL_PATH> --outfile <GGUF_PATH> --model-name dee
./quantize <GGUF_PATH> <OUTPUT_PATH> q4_0 ./quantize <GGUF_PATH> <OUTPUT_PATH> q4_0
./main -m <OUTPUT_PATH> -n 128 -p <PROMPT> ./main -m <OUTPUT_PATH> -n 128 -p <PROMPT>
``` ```
##### GPTQ(exllamav2)
The [PR](https://github.com/turboderp/exllamav2/pull/189) to [exllamav2](https://github.com/turboderp/exllamav2) is also under reviewing. Please using the forked version before the PR getting merged.
### 8. Resources ### 8. Resources
[awesome-deepseek-coder](https://github.com/deepseek-ai/awesome-deepseek-coder) is a curated list of open-source projects related to DeepSeek Coder. [awesome-deepseek-coder](https://github.com/deepseek-ai/awesome-deepseek-coder) is a curated list of open-source projects related to DeepSeek Coder.