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kakaocorp_kanana-1.5-15.7b-a3b-instruct-GGUF
tensorblock/kakaocorp_kanana-1.5-15.7b-a3b-instruct-GGUF
kakaocorp_kanana-1.5-15.7b-a3b-instruct-GGUF is a text generation model from tensorblock. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as other.
<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
2.5K
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Repo size
124 GB
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0
Public
Repo makeup
Click a slice to open those files.
.gguf14.7 GB · 100%
At a glance
- Task
- Text Generation
- Library
- transformers
- License
- other
- Access
- Public
- Created
- Aug 10, 2025
- Updated
- Jan 27, 2026
- SHA
- 32f123eb
Try a prompt
Base models
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>
kakaocorp/kanana-1.5-15.7b-a3b-instruct - GGUF
<div style="text-align: left; margin: 20px 0;"> <a href="https://discord.com/invite/Ej5NmeHFf2" style="display: inline-block; padding: 10px 20px; background-color: #5865F2; color: white; text-decoration: none; border-radius: 5px; font-weight: bold;"> Join our Discord to learn more about what we're building ↗ </a> </div>This repo contains GGUF format model files for kakaocorp/kanana-1.5-15.7b-a3b-instruct.
The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b5753.
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
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
<|eot_id|><|start_header_id|>system<|end_header_id|>
{system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|>
{prompt}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
Model file specification
| Filename | Quant type | File Size | Description |
|---|---|---|---|
| kanana-1.5-15.7b-a3b-instruct-Q2_K.gguf | Q2_K | 6.479 GB | smallest, significant quality loss - not recommended for most purposes |
| kanana-1.5-15.7b-a3b-instruct-Q3_K_S.gguf | Q3_K_S | 7.512 GB | very small, high quality loss |
| kanana-1.5-15.7b-a3b-instruct-Q3_K_M.gguf | Q3_K_M | 8.180 GB | very small, high quality loss |
| kanana-1.5-15.7b-a3b-instruct-Q3_K_L.gguf | Q3_K_L | 8.505 GB | small, substantial quality loss |
| kanana-1.5-15.7b-a3b-instruct-Q4_0.gguf | Q4_0 | 8.920 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| kanana-1.5-15.7b-a3b-instruct-Q4_K_S.gguf | Q4_K_S | 9.562 GB | small, greater quality loss |
| kanana-1.5-15.7b-a3b-instruct-Q4_K_M.gguf | Q4_K_M | 10.438 GB | medium, balanced quality - recommended |
| kanana-1.5-15.7b-a3b-instruct-Q5_0.gguf | Q5_0 | 10.848 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| kanana-1.5-15.7b-a3b-instruct-Q5_K_S.gguf | Q5_K_S | 11.150 GB | large, low quality loss - recommended |
| kanana-1.5-15.7b-a3b-instruct-Q5_K_M.gguf | Q5_K_M | 11.910 GB | large, very low quality loss - recommended |
| kanana-1.5-15.7b-a3b-instruct-Q6_K.gguf | Q6_K | 14.068 GB | very large, extremely low quality loss |
| kanana-1.5-15.7b-a3b-instruct-Q8_0.gguf | Q8_0 | 16.698 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/kakaocorp_kanana-1.5-15.7b-a3b-instruct-GGUF --include "kanana-1.5-15.7b-a3b-instruct-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/kakaocorp_kanana-1.5-15.7b-a3b-instruct-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
- Task
- Text Generation
- Library
- transformers
- License
- other
- Languages
- en, ko
- Created
- Aug 10, 2025
- Updated
- Jan 27, 2026