tensorblock/h2o-danube-1.8b-sft-GGUF

Feedback and support: TensorBlock's Twitter/X, Telegram Group and Discord server

h2oai/h2o-danube-1.8b-sft - GGUF

This repo contains GGUF format model files for h2oai/h2o-danube-1.8b-sft.

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

<|system|>{system_prompt}</s><|prompt|>{prompt}</s><|answer|>

Filename	Quant type	File Size	Description
h2o-danube-1.8b-sft-Q2_K.gguf	Q2_K	0.711 GB	smallest, significant quality loss - not recommended for most purposes
h2o-danube-1.8b-sft-Q3_K_S.gguf	Q3_K_S	0.820 GB	very small, high quality loss
h2o-danube-1.8b-sft-Q3_K_M.gguf	Q3_K_M	0.905 GB	very small, high quality loss
h2o-danube-1.8b-sft-Q3_K_L.gguf	Q3_K_L	0.980 GB	small, substantial quality loss
h2o-danube-1.8b-sft-Q4_0.gguf	Q4_0	1.052 GB	legacy; small, very high quality loss - prefer using Q3_K_M
h2o-danube-1.8b-sft-Q4_K_S.gguf	Q4_K_S	1.060 GB	small, greater quality loss
h2o-danube-1.8b-sft-Q4_K_M.gguf	Q4_K_M	1.112 GB	medium, balanced quality - recommended
h2o-danube-1.8b-sft-Q5_0.gguf	Q5_0	1.271 GB	legacy; medium, balanced quality - prefer using Q4_K_M
h2o-danube-1.8b-sft-Q5_K_S.gguf	Q5_K_S	1.271 GB	large, low quality loss - recommended
h2o-danube-1.8b-sft-Q5_K_M.gguf	Q5_K_M	1.302 GB	large, very low quality loss - recommended
h2o-danube-1.8b-sft-Q6_K.gguf	Q6_K	1.503 GB	very large, extremely low quality loss
h2o-danube-1.8b-sft-Q8_0.gguf	Q8_0	1.947 GB	very large, extremely low quality loss - not recommended

Firstly, install Huggingface Client

pip install -U "huggingface_hub[cli]"

Then, downoad the individual model file the a local directory

huggingface-cli download tensorblock/h2o-danube-1.8b-sft-GGUF --include "h2o-danube-1.8b-sft-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/h2o-danube-1.8b-sft-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'