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YAML Metadata Warning: The pipeline tag "conversational" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, text2text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, other
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Fredithefish/Guanaco-3B-Uncensored-v2 - GGUF

This repo contains GGUF format model files for Fredithefish/Guanaco-3B-Uncensored-v2.

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

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Model file specification

Filename Quant type File Size Description
Guanaco-3B-Uncensored-v2-Q2_K.gguf Q2_K 1.012 GB smallest, significant quality loss - not recommended for most purposes
Guanaco-3B-Uncensored-v2-Q3_K_S.gguf Q3_K_S 1.163 GB very small, high quality loss
Guanaco-3B-Uncensored-v2-Q3_K_M.gguf Q3_K_M 1.377 GB very small, high quality loss
Guanaco-3B-Uncensored-v2-Q3_K_L.gguf Q3_K_L 1.493 GB small, substantial quality loss
Guanaco-3B-Uncensored-v2-Q4_0.gguf Q4_0 1.490 GB legacy; small, very high quality loss - prefer using Q3_K_M
Guanaco-3B-Uncensored-v2-Q4_K_S.gguf Q4_K_S 1.502 GB small, greater quality loss
Guanaco-3B-Uncensored-v2-Q4_K_M.gguf Q4_K_M 1.664 GB medium, balanced quality - recommended
Guanaco-3B-Uncensored-v2-Q5_0.gguf Q5_0 1.798 GB legacy; medium, balanced quality - prefer using Q4_K_M
Guanaco-3B-Uncensored-v2-Q5_K_S.gguf Q5_K_S 1.798 GB large, low quality loss - recommended
Guanaco-3B-Uncensored-v2-Q5_K_M.gguf Q5_K_M 1.928 GB large, very low quality loss - recommended
Guanaco-3B-Uncensored-v2-Q6_K.gguf Q6_K 2.126 GB very large, extremely low quality loss
Guanaco-3B-Uncensored-v2-Q8_0.gguf Q8_0 2.751 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/Guanaco-3B-Uncensored-v2-GGUF --include "Guanaco-3B-Uncensored-v2-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/Guanaco-3B-Uncensored-v2-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
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