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, 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-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, 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.

Run them on the TensorBlock client using your local machine ↗

Prompt template

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'

Downloads last month: 365

GGUF

Model size

2.78B params

Architecture

gptneox

2-bit

3-bit

4-bit

5-bit

6-bit

8-bit

Inference Examples

Text Generation

Inference API (serverless) has been turned off for this model.

Model tree for tensorblock/Guanaco-3B-Uncensored-v2-GGUF

Base model

Fredithefish/Guanaco-3B-Uncensored-v2

Quantized

(3)

this model

tensorblock
/

Guanaco-3B-Uncensored-v2-GGUF