metadata
license: apache-2.0
base_model: eryk-mazus/polka-1.1b
datasets:
- allenai/MADLAD-400
- eryk-mazus/polka-pretrain-en-pl-v1
language:
- pl
- en
pipeline_tag: text-generation
widget:
- text: Wiedźmin 3 to fabularna gra akcji wyprodukowana
output:
text: ' przez studio CD Projekt RED. Akcja rozgrywa się w świecie fantasy, a jej bohaterem jest Geralt z Rivii,'
- text: >-
Gdy już będziecie w Warszawie, miejscem, które koniecznie musicie
odwiedzić jest
output:
text: ' Muzeum Powstania Warszawskiego. To jedyne tego typu muzeum w Europie'
tags:
- TensorBlock
- GGUF
eryk-mazus/polka-1.1b - GGUF
This repo contains GGUF format model files for eryk-mazus/polka-1.1b.
The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4242.
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Model file specification
| Filename | Quant type | File Size | Description |
|---|---|---|---|
| polka-1.1b-Q2_K.gguf | Q2_K | 0.460 GB | smallest, significant quality loss - not recommended for most purposes |
| polka-1.1b-Q3_K_S.gguf | Q3_K_S | 0.530 GB | very small, high quality loss |
| polka-1.1b-Q3_K_M.gguf | Q3_K_M | 0.579 GB | very small, high quality loss |
| polka-1.1b-Q3_K_L.gguf | Q3_K_L | 0.622 GB | small, substantial quality loss |
| polka-1.1b-Q4_0.gguf | Q4_0 | 0.671 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| polka-1.1b-Q4_K_S.gguf | Q4_K_S | 0.674 GB | small, greater quality loss |
| polka-1.1b-Q4_K_M.gguf | Q4_K_M | 0.702 GB | medium, balanced quality - recommended |
| polka-1.1b-Q5_0.gguf | Q5_0 | 0.803 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| polka-1.1b-Q5_K_S.gguf | Q5_K_S | 0.803 GB | large, low quality loss - recommended |
| polka-1.1b-Q5_K_M.gguf | Q5_K_M | 0.819 GB | large, very low quality loss - recommended |
| polka-1.1b-Q6_K.gguf | Q6_K | 0.944 GB | very large, extremely low quality loss |
| polka-1.1b-Q8_0.gguf | Q8_0 | 1.222 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/polka-1.1b-GGUF --include "polka-1.1b-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/polka-1.1b-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'