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lilmeaty/fgfgfgf - GGUF

This repo contains GGUF format model files for lilmeaty/fgfgfgf.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4242.

Prompt template

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

Cutting Knowledge Date: December 2023
Today Date: 04 Dec 2024

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

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

Model file specification

Filename Quant type File Size Description
fgfgfgf-Q2_K.gguf Q2_K 1.493 GB smallest, significant quality loss - not recommended for most purposes
fgfgfgf-Q3_K_S.gguf Q3_K_S 1.712 GB very small, high quality loss
fgfgfgf-Q3_K_M.gguf Q3_K_M 1.856 GB very small, high quality loss
fgfgfgf-Q3_K_L.gguf Q3_K_L 1.985 GB small, substantial quality loss
fgfgfgf-Q4_0.gguf Q4_0 2.139 GB legacy; small, very high quality loss - prefer using Q3_K_M
fgfgfgf-Q4_K_S.gguf Q4_K_S 2.150 GB small, greater quality loss
fgfgfgf-Q4_K_M.gguf Q4_K_M 2.241 GB medium, balanced quality - recommended
fgfgfgf-Q5_0.gguf Q5_0 2.540 GB legacy; medium, balanced quality - prefer using Q4_K_M
fgfgfgf-Q5_K_S.gguf Q5_K_S 2.540 GB large, low quality loss - recommended
fgfgfgf-Q5_K_M.gguf Q5_K_M 2.593 GB large, very low quality loss - recommended
fgfgfgf-Q6_K.gguf Q6_K 2.967 GB very large, extremely low quality loss
fgfgfgf-Q8_0.gguf Q8_0 3.841 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/fgfgfgf-GGUF --include "fgfgfgf-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/fgfgfgf-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
Downloads last month
24
GGUF
Model size
3.61B params
Architecture
llama

2-bit

3-bit

4-bit

5-bit

6-bit

8-bit

Inference API
Unable to determine this model’s pipeline type. Check the docs .

Model tree for tensorblock/fgfgfgf-GGUF

Base model

lilmeaty/fgfgfgf
Quantized
(1)
this model