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hyokwan/familidata - GGUF

This repo contains GGUF format model files for hyokwan/familidata.

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

Prompt template

### System:
{system_prompt}

### User:
{prompt}

### Assistant:

Model file specification

Filename Quant type File Size Description
familidata-Q2_K.gguf Q2_K 4.003 GB smallest, significant quality loss - not recommended for most purposes
familidata-Q3_K_S.gguf Q3_K_S 4.665 GB very small, high quality loss
familidata-Q3_K_M.gguf Q3_K_M 5.196 GB very small, high quality loss
familidata-Q3_K_L.gguf Q3_K_L 5.651 GB small, substantial quality loss
familidata-Q4_0.gguf Q4_0 6.072 GB legacy; small, very high quality loss - prefer using Q3_K_M
familidata-Q4_K_S.gguf Q4_K_S 6.119 GB small, greater quality loss
familidata-Q4_K_M.gguf Q4_K_M 6.462 GB medium, balanced quality - recommended
familidata-Q5_0.gguf Q5_0 7.397 GB legacy; medium, balanced quality - prefer using Q4_K_M
familidata-Q5_K_S.gguf Q5_K_S 7.397 GB large, low quality loss - recommended
familidata-Q5_K_M.gguf Q5_K_M 7.598 GB large, very low quality loss - recommended
familidata-Q6_K.gguf Q6_K 8.805 GB very large, extremely low quality loss
familidata-Q8_0.gguf Q8_0 11.404 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/familidata-GGUF --include "familidata-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/familidata-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
Downloads last month
175
GGUF
Model size
10.7B params
Architecture
llama

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Inference Examples
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Model tree for tensorblock/familidata-GGUF

Base model

hyokwan/familidata
Quantized
(1)
this model

Dataset used to train tensorblock/familidata-GGUF