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RickMartel/GPT2_FT_By_NT_RAND_v11 - GGUF

This repo contains GGUF format model files for RickMartel/GPT2_FT_By_NT_RAND_v11.

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

Prompt template


Model file specification

Filename Quant type File Size Description
GPT2_FT_By_NT_RAND_v11-Q2_K.gguf Q2_K 0.065 GB smallest, significant quality loss - not recommended for most purposes
GPT2_FT_By_NT_RAND_v11-Q3_K_S.gguf Q3_K_S 0.072 GB very small, high quality loss
GPT2_FT_By_NT_RAND_v11-Q3_K_M.gguf Q3_K_M 0.075 GB very small, high quality loss
GPT2_FT_By_NT_RAND_v11-Q3_K_L.gguf Q3_K_L 0.078 GB small, substantial quality loss
GPT2_FT_By_NT_RAND_v11-Q4_0.gguf Q4_0 0.082 GB legacy; small, very high quality loss - prefer using Q3_K_M
GPT2_FT_By_NT_RAND_v11-Q4_K_S.gguf Q4_K_S 0.082 GB small, greater quality loss
GPT2_FT_By_NT_RAND_v11-Q4_K_M.gguf Q4_K_M 0.085 GB medium, balanced quality - recommended
GPT2_FT_By_NT_RAND_v11-Q5_0.gguf Q5_0 0.093 GB legacy; medium, balanced quality - prefer using Q4_K_M
GPT2_FT_By_NT_RAND_v11-Q5_K_S.gguf Q5_K_S 0.093 GB large, low quality loss - recommended
GPT2_FT_By_NT_RAND_v11-Q5_K_M.gguf Q5_K_M 0.095 GB large, very low quality loss - recommended
GPT2_FT_By_NT_RAND_v11-Q6_K.gguf Q6_K 0.103 GB very large, extremely low quality loss
GPT2_FT_By_NT_RAND_v11-Q8_0.gguf Q8_0 0.132 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/GPT2_FT_By_NT_RAND_v11-GGUF --include "GPT2_FT_By_NT_RAND_v11-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/GPT2_FT_By_NT_RAND_v11-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
Downloads last month
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GGUF
Model size
0.1B params
Architecture
gpt2
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