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tensorblock/Llama3-1B-Base-GGUF

sourceHugging Facecc-by-4.0updated 9mo agoView on Hugging Face
1likes832downloads
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andrijdavid/Llama3-1B-Base - GGUF

This repo contains GGUF format model files for andrijdavid/Llama3-1B-Base.

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

<|begin_of_text|><|start_header_id|>system<|end_header_id|>

{system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|>

{prompt}<|eot_id|><|start_header_id|>assistant<|end_header_id|>

Model file specification

FilenameQuant typeFile SizeDescription
Llama3-1B-Base-Q2_K.ggufQ2_K0.852 GBsmallest, significant quality loss - not recommended for most purposes
Llama3-1B-Base-Q3_K_S.ggufQ3KS0.946 GBvery small, high quality loss
Llama3-1B-Base-Q3_K_M.ggufQ3KM0.979 GBvery small, high quality loss
Llama3-1B-Base-Q3_K_L.ggufQ3KL1.007 GBsmall, substantial quality loss
Llama3-1B-Base-Q4_0.ggufQ4_01.102 GBlegacy; small, very high quality loss - prefer using Q3KM
Llama3-1B-Base-Q4_K_S.ggufQ4KS1.104 GBsmall, greater quality loss
Llama3-1B-Base-Q4_K_M.ggufQ4KM1.119 GBmedium, balanced quality - recommended
Llama3-1B-Base-Q5_0.ggufQ5_01.250 GBlegacy; medium, balanced quality - prefer using Q4KM
Llama3-1B-Base-Q5_K_S.ggufQ5KS1.250 GBlarge, low quality loss - recommended
Llama3-1B-Base-Q5_K_M.ggufQ5KM1.258 GBlarge, very low quality loss - recommended
Llama3-1B-Base-Q6_K.ggufQ6_K1.407 GBvery large, extremely low quality loss
Llama3-1B-Base-Q8_0.ggufQ8_01.819 GBvery 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/Llama3-1B-Base-GGUF --include "Llama3-1B-Base-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/Llama3-1B-Base-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'