tensorblock/Jolteon-Instruct-13B-alpha-GGUF

Feedback and support: TensorBlock's Twitter/X, Telegram Group and Discord server

maywell/Jolteon-Instruct-13B-alpha - GGUF

This repo contains GGUF format model files for maywell/Jolteon-Instruct-13B-alpha.

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

Prompt template

<|im_start|>system
{system_prompt}<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant

Model file specification

Filename	Quant type	File Size	Description
Jolteon-Instruct-13B-alpha-Q2_K.gguf	Q2_K	4.665 GB	smallest, significant quality loss - not recommended for most purposes
Jolteon-Instruct-13B-alpha-Q3_K_S.gguf	Q3_K_S	5.435 GB	very small, high quality loss
Jolteon-Instruct-13B-alpha-Q3_K_M.gguf	Q3_K_M	6.048 GB	very small, high quality loss
Jolteon-Instruct-13B-alpha-Q3_K_L.gguf	Q3_K_L	6.583 GB	small, substantial quality loss
Jolteon-Instruct-13B-alpha-Q4_0.gguf	Q4_0	7.074 GB	legacy; small, very high quality loss - prefer using Q3_K_M
Jolteon-Instruct-13B-alpha-Q4_K_S.gguf	Q4_K_S	7.124 GB	small, greater quality loss
Jolteon-Instruct-13B-alpha-Q4_K_M.gguf	Q4_K_M	7.527 GB	medium, balanced quality - recommended
Jolteon-Instruct-13B-alpha-Q5_0.gguf	Q5_0	8.617 GB	legacy; medium, balanced quality - prefer using Q4_K_M
Jolteon-Instruct-13B-alpha-Q5_K_S.gguf	Q5_K_S	8.617 GB	large, low quality loss - recommended
Jolteon-Instruct-13B-alpha-Q5_K_M.gguf	Q5_K_M	8.851 GB	large, very low quality loss - recommended
Jolteon-Instruct-13B-alpha-Q6_K.gguf	Q6_K	10.257 GB	very large, extremely low quality loss
Jolteon-Instruct-13B-alpha-Q8_0.gguf	Q8_0	13.284 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/Jolteon-Instruct-13B-alpha-GGUF --include "Jolteon-Instruct-13B-alpha-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/Jolteon-Instruct-13B-alpha-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'