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Aspik101_trurl-2-13b-pl-instruct_unload-GGUF
tensorblock/Aspik101_trurl-2-13b-pl-instruct_unload-GGUF
Aspik101_trurl-2-13b-pl-instruct_unload-GGUF is a text generation model from tensorblock. Use it when you need the model to write or continue text. The card lists the license as other.
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All-time downloads
1.1K
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Repo size
98.1 GB
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0
Public
Repo makeup
Click a slice to open those files.
.gguf4.9 GB · 100%
At a glance
- Task
- Text Generation
- License
- other
- Access
- Public
- Created
- May 4, 2025
- Updated
- Jan 27, 2026
- SHA
- 8d9d8b37
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>
Aspik101/trurl-2-13b-pl-instruct_unload - GGUF
This repo contains GGUF format model files for Aspik101/trurl-2-13b-pl-instruct_unload.
The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b5165.
Our projects
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Model file specification
| Filename | Quant type | File Size | Description |
|---|---|---|---|
| trurl-2-13b-pl-instruct_unload-Q2_K.gguf | Q2_K | 4.854 GB | smallest, significant quality loss - not recommended for most purposes |
| trurl-2-13b-pl-instruct_unload-Q3_K_S.gguf | Q3_K_S | 5.659 GB | very small, high quality loss |
| trurl-2-13b-pl-instruct_unload-Q3_K_M.gguf | Q3_K_M | 6.338 GB | very small, high quality loss |
| trurl-2-13b-pl-instruct_unload-Q3_K_L.gguf | Q3_K_L | 6.930 GB | small, substantial quality loss |
| trurl-2-13b-pl-instruct_unload-Q4_0.gguf | Q4_0 | 7.366 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| trurl-2-13b-pl-instruct_unload-Q4_K_S.gguf | Q4_K_S | 7.423 GB | small, greater quality loss |
| trurl-2-13b-pl-instruct_unload-Q4_K_M.gguf | Q4_K_M | 7.866 GB | medium, balanced quality - recommended |
| trurl-2-13b-pl-instruct_unload-Q5_0.gguf | Q5_0 | 8.972 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| trurl-2-13b-pl-instruct_unload-Q5_K_S.gguf | Q5_K_S | 8.972 GB | large, low quality loss - recommended |
| trurl-2-13b-pl-instruct_unload-Q5_K_M.gguf | Q5_K_M | 9.230 GB | large, very low quality loss - recommended |
| trurl-2-13b-pl-instruct_unload-Q6_K.gguf | Q6_K | 10.679 GB | very large, extremely low quality loss |
| trurl-2-13b-pl-instruct_unload-Q8_0.gguf | Q8_0 | 13.831 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/Aspik101_trurl-2-13b-pl-instruct_unload-GGUF --include "trurl-2-13b-pl-instruct_unload-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/Aspik101_trurl-2-13b-pl-instruct_unload-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
- Task
- Text Generation
- License
- other
- Languages
- pl
- Created
- May 4, 2025
- Updated
- Jan 27, 2026