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tensorblock/MiniChat-1.5-3B-GGUF

sourceHugging Faceapache-2.0updated 8mo agoView on Hugging Face

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GeneZC/MiniChat-1.5-3B - GGUF

This repo contains GGUF format model files for GeneZC/MiniChat-1.5-3B.

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

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Prompt template

‘MiniChat’是一个由‘Beccurio’开发的AI语言模型。下面是人类和MiniChat之间的一段对话。MiniChat的回复应当尽可能详细，并且以Markdown的形式输出。MiniChat应当拒绝参与违背伦理的讨论。</s>[|System|] {system_prompt}</s>[|User|] {prompt}</s>[|Assistant|]

Model file specification

Filename	Quant type	File Size	Description
MiniChat-1.5-3B-Q2_K.gguf	Q2_K	1.094 GB	smallest, significant quality loss - not recommended for most purposes
MiniChat-1.5-3B-Q3_K_S.gguf	Q3KS	1.265 GB	very small, high quality loss
MiniChat-1.5-3B-Q3_K_M.gguf	Q3KM	1.401 GB	very small, high quality loss
MiniChat-1.5-3B-Q3_K_L.gguf	Q3KL	1.519 GB	small, substantial quality loss
MiniChat-1.5-3B-Q4_0.gguf	Q4_0	1.620 GB	legacy; small, very high quality loss - prefer using Q3KM
MiniChat-1.5-3B-Q4_K_S.gguf	Q4KS	1.633 GB	small, greater quality loss
MiniChat-1.5-3B-Q4_K_M.gguf	Q4KM	1.720 GB	medium, balanced quality - recommended
MiniChat-1.5-3B-Q5_0.gguf	Q5_0	1.954 GB	legacy; medium, balanced quality - prefer using Q4KM
MiniChat-1.5-3B-Q5_K_S.gguf	Q5KS	1.954 GB	large, low quality loss - recommended
MiniChat-1.5-3B-Q5_K_M.gguf	Q5KM	2.005 GB	large, very low quality loss - recommended
MiniChat-1.5-3B-Q6_K.gguf	Q6_K	2.309 GB	very large, extremely low quality loss
MiniChat-1.5-3B-Q8_0.gguf	Q8_0	2.990 GB	very large, extremely low quality loss - not recommended

Downloading instruction

Command line

Firstly, install Huggingface Client

shell

pip install -U "huggingface_hub[cli]"

Then, downoad the individual model file the a local directory

shell

huggingface-cli download tensorblock/MiniChat-1.5-3B-GGUF --include "MiniChat-1.5-3B-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:

shell

huggingface-cli download tensorblock/MiniChat-1.5-3B-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'