tensorblock/MN-2407-DSK-QwQify-v0.1-12B-GGUF

🤗 Hugging Face sourceapache-2.012B activated93 GBGGUF✓ 1 checksumupdated today
Submit in one command

Run it next to your model folder. It makes the torrent, checks your files against Hugging Face, and submits it. You just start seeding and paste your key from your account. It only reads your files and never changes them. Read the script first if you like.

curl -fsSL https://pirateface.co/package.sh | bash -s -- --repo tensorblock/MN-2407-DSK-QwQify-v0.1-12B-GGUF ./model-folder
Needs a seeder →

BeaverAI/MN-2407-DSK-QwQify-v0.1-12B - GGUF

This repo contains GGUF format model files for BeaverAI/MN-2407-DSK-QwQify-v0.1-12B.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4882.

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

Model file specification

Filename Quant type File Size Description
MN-2407-DSK-QwQify-v0.1-12B-Q2_K.gguf Q2_K 4.791 GB smallest, significant quality loss - not recommended for most purposes
MN-2407-DSK-QwQify-v0.1-12B-Q3_K_S.gguf Q3_K_S 5.534 GB very small, high quality loss
MN-2407-DSK-QwQify-v0.1-12B-Q3_K_M.gguf Q3_K_M 6.083 GB very small, high quality loss
MN-2407-DSK-QwQify-v0.1-12B-Q3_K_L.gguf Q3_K_L 6.562 GB small, substantial quality loss
MN-2407-DSK-QwQify-v0.1-12B-Q4_0.gguf Q4_0 7.072 GB legacy; small, very high quality loss - prefer using Q3_K_M
MN-2407-DSK-QwQify-v0.1-12B-Q4_K_S.gguf Q4_K_S 7.120 GB small, greater quality loss
MN-2407-DSK-QwQify-v0.1-12B-Q4_K_M.gguf Q4_K_M 7.477 GB medium, balanced quality - recommended
MN-2407-DSK-QwQify-v0.1-12B-Q5_0.gguf Q5_0 8.519 GB legacy; medium, balanced quality - prefer using Q4_K_M
MN-2407-DSK-QwQify-v0.1-12B-Q5_K_S.gguf Q5_K_S 8.519 GB large, low quality loss - recommended
MN-2407-DSK-QwQify-v0.1-12B-Q5_K_M.gguf Q5_K_M 8.728 GB large, very low quality loss - recommended
MN-2407-DSK-QwQify-v0.1-12B-Q6_K.gguf Q6_K 10.056 GB very large, extremely low quality loss
MN-2407-DSK-QwQify-v0.1-12B-Q8_0.gguf Q8_0 13.022 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/MN-2407-DSK-QwQify-v0.1-12B-GGUF --include "MN-2407-DSK-QwQify-v0.1-12B-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/MN-2407-DSK-QwQify-v0.1-12B-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'