---
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
---
[](https://tensorblock.co)
[](https://twitter.com/tensorblock_aoi)
[](https://discord.gg/Ej5NmeHFf2)
[](https://github.com/TensorBlock)
[](https://t.me/TensorBlock)
## Macropodus/macbert4mdcspell_v1 - GGUF
This repo contains GGUF format model files for [Macropodus/macbert4mdcspell_v1](https://huggingface.co/Macropodus/macbert4mdcspell_v1).
The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b4823](https://github.com/ggml-org/llama.cpp/commit/5bbe6a9fe9a8796a9389c85accec89dbc4d91e39).
## Our projects
Forge |
|
An OpenAI-compatible multi-provider routing layer. |
🚀 Try it now! 🚀
|
Awesome MCP Servers |
TensorBlock Studio |
 |
 |
A comprehensive collection of Model Context Protocol (MCP) servers. |
A lightweight, open, and extensible multi-LLM interaction studio. |
👀 See what we built 👀
|
👀 See what we built 👀
|
## 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'
```