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metadata
base_model: ssmits/Falcon2-5.5B-Polish
library_name: transformers
tags:
  - mergekit
  - merge
  - lazymergekit
  - tiiuae/falcon-11B
  - TensorBlock
  - GGUF
license: apache-2.0
language:
  - pl
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ssmits/Falcon2-5.5B-Polish - GGUF

This repo contains GGUF format model files for ssmits/Falcon2-5.5B-Polish.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4011.

Prompt template

System: {system_prompt}
User: 
{prompt}
Falcon:

Model file specification

Filename Quant type File Size Description
Falcon2-5.5B-Polish-Q2_K.gguf Q2_K 2.033 GB smallest, significant quality loss - not recommended for most purposes
Falcon2-5.5B-Polish-Q3_K_S.gguf Q3_K_S 2.347 GB very small, high quality loss
Falcon2-5.5B-Polish-Q3_K_M.gguf Q3_K_M 2.558 GB very small, high quality loss
Falcon2-5.5B-Polish-Q3_K_L.gguf Q3_K_L 2.725 GB small, substantial quality loss
Falcon2-5.5B-Polish-Q4_0.gguf Q4_0 2.990 GB legacy; small, very high quality loss - prefer using Q3_K_M
Falcon2-5.5B-Polish-Q4_K_S.gguf Q4_K_S 2.990 GB small, greater quality loss
Falcon2-5.5B-Polish-Q4_K_M.gguf Q4_K_M 3.190 GB medium, balanced quality - recommended
Falcon2-5.5B-Polish-Q5_0.gguf Q5_0 3.595 GB legacy; medium, balanced quality - prefer using Q4_K_M
Falcon2-5.5B-Polish-Q5_K_S.gguf Q5_K_S 3.595 GB large, low quality loss - recommended
Falcon2-5.5B-Polish-Q5_K_M.gguf Q5_K_M 3.799 GB large, very low quality loss - recommended
Falcon2-5.5B-Polish-Q6_K.gguf Q6_K 4.238 GB very large, extremely low quality loss
Falcon2-5.5B-Polish-Q8_0.gguf Q8_0 5.411 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/Falcon2-5.5B-Polish-GGUF --include "Falcon2-5.5B-Polish-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/Falcon2-5.5B-Polish-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'