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MN-2407-DSK-QwQify-v0.1-12B-GGUF
tensorblock/MN-2407-DSK-QwQify-v0.1-12B-GGUF
MN-2407-DSK-QwQify-v0.1-12B-GGUF is a machine learning model from tensorblock. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
<div style="width: auto; margin-left: auto; margin-right: auto" <img src="https://i.imgur.com/jC7kdl8.jpeg" alt="TensorBlock" style="width: 100%; min-width: 400px; display: block; margin: auto;" </div
All-time downloads
1.8K
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Repo size
93.5 GB
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0
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Repo makeup
Click a slice to open those files.
.gguf4.8 GB · 100%
At a glance
- Library
- transformers
- License
- apache-2.0
- Access
- Public
- Created
- Mar 21, 2025
- Updated
- Jan 27, 2026
- SHA
- 42c8e5ce
Base models
Datasets
- PJMixers-Dev/allura-org_gryphe-sonnet-3.5-charcards-names-added-qwq-all-aphrodite-Shuffled
- PJMixers-Dev/anthracite-org_c2_logs_32k_llama3_qwen2_v1.3-qwq-all-aphrodite-Shuffled
- PJMixers-Dev/grimulkan_aicg-logs-augmented-system-qwq-all-aphrodite-Shuffled
- PJMixers-Dev/grimulkan_jannie-log-augmented-system-qwq-all-aphrodite-Shuffled
- PJMixers-Dev/grimulkan_PIPPA-augmented-dedup-system-qwq-all-aphrodite-Shuffled
- PJMixers-Dev/lemonilia_LimaRP-Only-NonSus-Simple-CustomShareGPT-qwq-all-aphrodite-Shuffled
- PJMixers-Dev/MinervaAI_Aesir-Preview-Anon-qwq-all-aphrodite-Shuffled
- PJMixers-Dev/NyxKrage_chub-logs-sharegpt-longest-CustomShareGPT-qwq-all-aphrodite-Shuffled
Model card
From the Hugging Face model README
<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="https://i.imgur.com/jC7kdl8.jpeg" alt="TensorBlock" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</div>
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
<table border="1" cellspacing="0" cellpadding="10"> <tr> <th colspan="2" style="font-size: 25px;">Forge</th> </tr> <tr> <th colspan="2"> <img src="https://imgur.com/faI5UKh.jpeg" alt="Forge Project" width="900"/> </th> </tr> <tr> <th colspan="2">An OpenAI-compatible multi-provider routing layer.</th> </tr> <tr> <th colspan="2"> <a href="https://github.com/TensorBlock/forge" target="_blank" style=" display: inline-block; padding: 8px 16px; background-color: #FF7F50; color: white; text-decoration: none; border-radius: 6px; font-weight: bold; font-family: sans-serif; ">🚀 Try it now! 🚀</a> </th> </tr> <tr> <th style="font-size: 25px;">Awesome MCP Servers</th> <th style="font-size: 25px;">TensorBlock Studio</th> </tr> <tr> <th><img src="https://imgur.com/2Xov7B7.jpeg" alt="MCP Servers" width="450"/></th> <th><img src="https://imgur.com/pJcmF5u.jpeg" alt="Studio" width="450"/></th> </tr> <tr> <th>A comprehensive collection of Model Context Protocol (MCP) servers.</th> <th>A lightweight, open, and extensible multi-LLM interaction studio.</th> </tr> <tr> <th> <a href="https://github.com/TensorBlock/awesome-mcp-servers" target="_blank" style=" display: inline-block; padding: 8px 16px; background-color: #FF7F50; color: white; text-decoration: none; border-radius: 6px; font-weight: bold; font-family: sans-serif; ">👀 See what we built 👀</a> </th> <th> <a href="https://github.com/TensorBlock/TensorBlock-Studio" target="_blank" style=" display: inline-block; padding: 8px 16px; background-color: #FF7F50; color: white; text-decoration: none; border-radius: 6px; font-weight: bold; font-family: sans-serif; ">👀 See what we built 👀</a> </th> </tr> </table> ## 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'
- Library
- transformers
- License
- apache-2.0
- Created
- Mar 21, 2025
- Updated
- Jan 27, 2026