TensorBlock

Feedback and support: TensorBlock's Twitter/X, Telegram Group and Discord server

katanemo/Arch-Function-3B - GGUF

This repo contains GGUF format model files for katanemo/Arch-Function-3B.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4011.

Prompt template

<|im_start|>system
{system_prompt}<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant

Model file specification

Filename Quant type File Size Description
Arch-Function-3B-Q2_K.gguf Q2_K 1.275 GB smallest, significant quality loss - not recommended for most purposes
Arch-Function-3B-Q3_K_S.gguf Q3_K_S 1.454 GB very small, high quality loss
Arch-Function-3B-Q3_K_M.gguf Q3_K_M 1.590 GB very small, high quality loss
Arch-Function-3B-Q3_K_L.gguf Q3_K_L 1.707 GB small, substantial quality loss
Arch-Function-3B-Q4_0.gguf Q4_0 1.823 GB legacy; small, very high quality loss - prefer using Q3_K_M
Arch-Function-3B-Q4_K_S.gguf Q4_K_S 1.834 GB small, greater quality loss
Arch-Function-3B-Q4_K_M.gguf Q4_K_M 1.930 GB medium, balanced quality - recommended
Arch-Function-3B-Q5_0.gguf Q5_0 2.170 GB legacy; medium, balanced quality - prefer using Q4_K_M
Arch-Function-3B-Q5_K_S.gguf Q5_K_S 2.170 GB large, low quality loss - recommended
Arch-Function-3B-Q5_K_M.gguf Q5_K_M 2.225 GB large, very low quality loss - recommended
Arch-Function-3B-Q6_K.gguf Q6_K 2.538 GB very large, extremely low quality loss
Arch-Function-3B-Q8_0.gguf Q8_0 3.285 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/Arch-Function-3B-GGUF --include "Arch-Function-3B-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/Arch-Function-3B-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
Downloads last month
295
GGUF
Model size
3.09B params
Architecture
qwen2

2-bit

3-bit

4-bit

5-bit

6-bit

8-bit

Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for tensorblock/Arch-Function-3B-GGUF

Base model

Qwen/Qwen2.5-3B
Quantized
(12)
this model