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TucanoBR/Tucano-2b4-Instruct - GGUF

This repo contains GGUF format model files for TucanoBR/Tucano-2b4-Instruct.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4242.

Prompt template

<instruction>{prompt}</instruction>

Model file specification

Filename Quant type File Size Description
Tucano-2b4-Instruct-Q2_K.gguf Q2_K 0.933 GB smallest, significant quality loss - not recommended for most purposes
Tucano-2b4-Instruct-Q3_K_S.gguf Q3_K_S 1.084 GB very small, high quality loss
Tucano-2b4-Instruct-Q3_K_M.gguf Q3_K_M 1.197 GB very small, high quality loss
Tucano-2b4-Instruct-Q3_K_L.gguf Q3_K_L 1.297 GB small, substantial quality loss
Tucano-2b4-Instruct-Q4_0.gguf Q4_0 1.397 GB legacy; small, very high quality loss - prefer using Q3_K_M
Tucano-2b4-Instruct-Q4_K_S.gguf Q4_K_S 1.408 GB small, greater quality loss
Tucano-2b4-Instruct-Q4_K_M.gguf Q4_K_M 1.484 GB medium, balanced quality - recommended
Tucano-2b4-Instruct-Q5_0.gguf Q5_0 1.693 GB legacy; medium, balanced quality - prefer using Q4_K_M
Tucano-2b4-Instruct-Q5_K_S.gguf Q5_K_S 1.693 GB large, low quality loss - recommended
Tucano-2b4-Instruct-Q5_K_M.gguf Q5_K_M 1.737 GB large, very low quality loss - recommended
Tucano-2b4-Instruct-Q6_K.gguf Q6_K 2.007 GB very large, extremely low quality loss
Tucano-2b4-Instruct-Q8_0.gguf Q8_0 2.599 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/Tucano-2b4-Instruct-GGUF --include "Tucano-2b4-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/Tucano-2b4-Instruct-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
Downloads last month
256
GGUF
Model size
2.44B params
Architecture
llama

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Inference Examples
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Model tree for tensorblock/Tucano-2b4-Instruct-GGUF

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Datasets used to train tensorblock/Tucano-2b4-Instruct-GGUF

Evaluation results