diff --git a/README.md b/README.md index d778cb4..d103a21 100644 --- a/README.md +++ b/README.md @@ -126,7 +126,7 @@ In line with Grok-1, we have evaluated the model's mathematical capabilities usi result -**Remark:** Some results are obtained by DeepSeek authors, while others are done by Grok-1 authors. We found some models count the score of the last question (Llemma 34b and Mammoth) while some (MetaMath-7B) are not in the original evaluation. In our evaluation, we count the last question score. Evaluation details are [here](https://github.com/deepseek-ai/DeepSeek-LLM/tree/HEAD/evaluation/hungarian_national_hs_solutions). +**Remark:** Some results are obtained by DeepSeek LLM authors, while others are done by Grok-1 authors. We found some models count the score of the last question (Llemma 34b and Mammoth) while some (MetaMath-7B) are not in the original evaluation. In our evaluation, we count the last question score. Evaluation details are [here](https://github.com/deepseek-ai/DeepSeek-LLM/tree/HEAD/evaluation/hungarian_national_hs_solutions). --- @@ -299,7 +299,7 @@ print(generated_text) ### 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 are contributing to the open-source quantization methods facilitate the usage of HuggingFace Tokenizer. +DeepSeek LLM utilizes the [HuggingFace Tokenizer](https://huggingface.co/docs/tokenizers/index) to implement the Byte-level-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)