tensorblock/TinyLlama-1.1B-Chat-v0.1-GGUF

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TinyLlama/TinyLlama-1.1B-Chat-v0.1 - GGUF

This repo contains GGUF format model files for TinyLlama/TinyLlama-1.1B-Chat-v0.1.

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

Prompt template

Model file specification

Filename	Quant type	File Size	Description
TinyLlama-1.1B-Chat-v0.1-Q2_K.gguf	Q2_K	0.402 GB	smallest, significant quality loss - not recommended for most purposes
TinyLlama-1.1B-Chat-v0.1-Q3_K_S.gguf	Q3_K_S	0.465 GB	very small, high quality loss
TinyLlama-1.1B-Chat-v0.1-Q3_K_M.gguf	Q3_K_M	0.511 GB	very small, high quality loss
TinyLlama-1.1B-Chat-v0.1-Q3_K_L.gguf	Q3_K_L	0.551 GB	small, substantial quality loss
TinyLlama-1.1B-Chat-v0.1-Q4_0.gguf	Q4_0	0.593 GB	legacy; small, very high quality loss - prefer using Q3_K_M
TinyLlama-1.1B-Chat-v0.1-Q4_K_S.gguf	Q4_K_S	0.596 GB	small, greater quality loss
TinyLlama-1.1B-Chat-v0.1-Q4_K_M.gguf	Q4_K_M	0.622 GB	medium, balanced quality - recommended
TinyLlama-1.1B-Chat-v0.1-Q5_0.gguf	Q5_0	0.713 GB	legacy; medium, balanced quality - prefer using Q4_K_M
TinyLlama-1.1B-Chat-v0.1-Q5_K_S.gguf	Q5_K_S	0.713 GB	large, low quality loss - recommended
TinyLlama-1.1B-Chat-v0.1-Q5_K_M.gguf	Q5_K_M	0.728 GB	large, very low quality loss - recommended
TinyLlama-1.1B-Chat-v0.1-Q6_K.gguf	Q6_K	0.841 GB	very large, extremely low quality loss
TinyLlama-1.1B-Chat-v0.1-Q8_0.gguf	Q8_0	1.089 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/TinyLlama-1.1B-Chat-v0.1-GGUF --include "TinyLlama-1.1B-Chat-v0.1-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/TinyLlama-1.1B-Chat-v0.1-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'