baichuan-inc_Baichuan-13B-Base-GGUF

tensorblock/baichuan-inc_Baichuan-13B-Base-GGUF

baichuan-inc_Baichuan-13B-Base-GGUF is a text generation model from tensorblock. Use it when you need the model to write or continue text.

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Downloads · 30 days

3% of all-time downloads

All-time downloads

1.2K

Public

Repo size

104 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.gguf5.4 GB · 100%

At a glance

Task: Text Generation
Access: Public
Created: May 8, 2025
Updated: Jan 27, 2026
SHA: 289ad746

Base models

baichuan-inc/Baichuan-13B-Base

Model card

From the Hugging Face model README

baichuan-inc/Baichuan-13B-Base - GGUF

This repo contains GGUF format model files for baichuan-inc/Baichuan-13B-Base.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b5165.

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Prompt template

Model file specification

Filename	Quant type	File Size	Description
Baichuan-13B-Base-Q2_K.gguf	Q2_K	5.387 GB	smallest, significant quality loss - not recommended for most purposes
Baichuan-13B-Base-Q3_K_S.gguf	Q3_K_S	6.203 GB	very small, high quality loss
Baichuan-13B-Base-Q3_K_M.gguf	Q3_K_M	6.848 GB	very small, high quality loss
Baichuan-13B-Base-Q3_K_L.gguf	Q3_K_L	7.270 GB	small, substantial quality loss
Baichuan-13B-Base-Q4_0.gguf	Q4_0	7.549 GB	legacy; small, very high quality loss - prefer using Q3_K_M
Baichuan-13B-Base-Q4_K_S.gguf	Q4_K_S	7.934 GB	small, greater quality loss
Baichuan-13B-Base-Q4_K_M.gguf	Q4_K_M	8.560 GB	medium, balanced quality - recommended
Baichuan-13B-Base-Q5_0.gguf	Q5_0	9.166 GB	legacy; medium, balanced quality - prefer using Q4_K_M
Baichuan-13B-Base-Q5_K_S.gguf	Q5_K_S	9.341 GB	large, low quality loss - recommended
Baichuan-13B-Base-Q5_K_M.gguf	Q5_K_M	9.849 GB	large, very low quality loss - recommended
Baichuan-13B-Base-Q6_K.gguf	Q6_K	11.563 GB	very large, extremely low quality loss
Baichuan-13B-Base-Q8_0.gguf	Q8_0	14.097 GB	very large, extremely low quality loss - not recommended

Downloading instruction

Command line

Firstly, install Huggingface Client

pip install -U "huggingface_hub[cli]"

Then, downoad the individual model file the a local directory

huggingface-cli download tensorblock/baichuan-inc_Baichuan-13B-Base-GGUF --include "Baichuan-13B-Base-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:

huggingface-cli download tensorblock/baichuan-inc_Baichuan-13B-Base-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'

Task: Text Generation
Languages: zh, en
Created: May 8, 2025
Updated: Jan 27, 2026