--- license: apache-2.0 language: - zh base_model: Macropodus/macbert4mdcspell_v1 pipeline_tag: text-generation tags: - csc - text-correct - chinses-spelling-correct - chinese-spelling-check - 中文拼写纠错 - 文本纠错 - TensorBlock - GGUF ---
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## Prompt template ``` Unable to determine prompt format automatically. Please check the original model repository for the correct prompt format. ``` ## Model file specification | Filename | Quant type | File Size | Description | | -------- | ---------- | --------- | ----------- | | [macbert4mdcspell_v1-Q2_K.gguf](https://huggingface.co/tensorblock/macbert4mdcspell_v1-GGUF/blob/main/macbert4mdcspell_v1-Q2_K.gguf) | Q2_K | 0.048 GB | smallest, significant quality loss - not recommended for most purposes | | [macbert4mdcspell_v1-Q3_K_S.gguf](https://huggingface.co/tensorblock/macbert4mdcspell_v1-GGUF/blob/main/macbert4mdcspell_v1-Q3_K_S.gguf) | Q3_K_S | 0.052 GB | very small, high quality loss | | [macbert4mdcspell_v1-Q3_K_M.gguf](https://huggingface.co/tensorblock/macbert4mdcspell_v1-GGUF/blob/main/macbert4mdcspell_v1-Q3_K_M.gguf) | Q3_K_M | 0.058 GB | very small, high quality loss | | [macbert4mdcspell_v1-Q3_K_L.gguf](https://huggingface.co/tensorblock/macbert4mdcspell_v1-GGUF/blob/main/macbert4mdcspell_v1-Q3_K_L.gguf) | Q3_K_L | 0.063 GB | small, substantial quality loss | | [macbert4mdcspell_v1-Q4_0.gguf](https://huggingface.co/tensorblock/macbert4mdcspell_v1-GGUF/blob/main/macbert4mdcspell_v1-Q4_0.gguf) | Q4_0 | 0.064 GB | legacy; small, very high quality loss - prefer using Q3_K_M | | [macbert4mdcspell_v1-Q4_K_S.gguf](https://huggingface.co/tensorblock/macbert4mdcspell_v1-GGUF/blob/main/macbert4mdcspell_v1-Q4_K_S.gguf) | Q4_K_S | 0.064 GB | small, greater quality loss | | [macbert4mdcspell_v1-Q4_K_M.gguf](https://huggingface.co/tensorblock/macbert4mdcspell_v1-GGUF/blob/main/macbert4mdcspell_v1-Q4_K_M.gguf) | Q4_K_M | 0.068 GB | medium, balanced quality - recommended | | [macbert4mdcspell_v1-Q5_0.gguf](https://huggingface.co/tensorblock/macbert4mdcspell_v1-GGUF/blob/main/macbert4mdcspell_v1-Q5_0.gguf) | Q5_0 | 0.074 GB | legacy; medium, balanced quality - prefer using Q4_K_M | | [macbert4mdcspell_v1-Q5_K_S.gguf](https://huggingface.co/tensorblock/macbert4mdcspell_v1-GGUF/blob/main/macbert4mdcspell_v1-Q5_K_S.gguf) | Q5_K_S | 0.074 GB | large, low quality loss - recommended | | [macbert4mdcspell_v1-Q5_K_M.gguf](https://huggingface.co/tensorblock/macbert4mdcspell_v1-GGUF/blob/main/macbert4mdcspell_v1-Q5_K_M.gguf) | Q5_K_M | 0.076 GB | large, very low quality loss - recommended | | [macbert4mdcspell_v1-Q6_K.gguf](https://huggingface.co/tensorblock/macbert4mdcspell_v1-GGUF/blob/main/macbert4mdcspell_v1-Q6_K.gguf) | Q6_K | 0.085 GB | very large, extremely low quality loss | | [macbert4mdcspell_v1-Q8_0.gguf](https://huggingface.co/tensorblock/macbert4mdcspell_v1-GGUF/blob/main/macbert4mdcspell_v1-Q8_0.gguf) | Q8_0 | 0.110 GB | very large, extremely low quality loss - not recommended | ## Downloading instruction ### Command line Firstly, install Huggingface Client ```shell pip install -U "huggingface_hub[cli]" ``` Then, downoad the individual model file the a local directory ```shell huggingface-cli download tensorblock/macbert4mdcspell_v1-GGUF --include "macbert4mdcspell_v1-Q2_K.gguf" --local-dir MY_LOCAL_DIR ``` If you wanna download multiple model files with a pattern (e.g., `*Q4_K*gguf`), you can try: ```shell huggingface-cli download tensorblock/macbert4mdcspell_v1-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf' ```