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hyper-accel/tiny-random-gpt_neox - GGUF

This repo contains GGUF format model files for hyper-accel/tiny-random-gpt_neox.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4882.

Prompt template

Unable to determine prompt format automatically. Please check the original model repository for the correct prompt format.

Model file specification

Filename Quant type File Size Description
tiny-random-gpt_neox-Q2_K.gguf Q2_K 0.035 GB smallest, significant quality loss - not recommended for most purposes
tiny-random-gpt_neox-Q3_K_S.gguf Q3_K_S 0.035 GB very small, high quality loss
tiny-random-gpt_neox-Q3_K_M.gguf Q3_K_M 0.035 GB very small, high quality loss
tiny-random-gpt_neox-Q3_K_L.gguf Q3_K_L 0.036 GB small, substantial quality loss
tiny-random-gpt_neox-Q4_0.gguf Q4_0 0.035 GB legacy; small, very high quality loss - prefer using Q3_K_M
tiny-random-gpt_neox-Q4_K_S.gguf Q4_K_S 0.038 GB small, greater quality loss
tiny-random-gpt_neox-Q4_K_M.gguf Q4_K_M 0.038 GB medium, balanced quality - recommended
tiny-random-gpt_neox-Q5_0.gguf Q5_0 0.038 GB legacy; medium, balanced quality - prefer using Q4_K_M
tiny-random-gpt_neox-Q5_K_S.gguf Q5_K_S 0.039 GB large, low quality loss - recommended
tiny-random-gpt_neox-Q5_K_M.gguf Q5_K_M 0.040 GB large, very low quality loss - recommended
tiny-random-gpt_neox-Q6_K.gguf Q6_K 0.046 GB very large, extremely low quality loss
tiny-random-gpt_neox-Q8_0.gguf Q8_0 0.047 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/tiny-random-gpt_neox-GGUF --include "tiny-random-gpt_neox-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/tiny-random-gpt_neox-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
Downloads last month
189
GGUF
Model size
42.3M params
Architecture
gptneox

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