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TinyStories-656K-GGUF

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metadata
license: apache-2.0
widget:
  - text: '<|start_story|>Once upon a time, there was a little boy named Tim. Tim '
    example_title: Sample 1
datasets:
  - raincandy-u/TinyStoriesV2_SpecialTokens
language:
  - en
library_name: transformers
tags:
  - TensorBlock
  - GGUF
base_model: raincandy-u/TinyStories-656K
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raincandy-u/TinyStories-656K - GGUF

This repo contains GGUF format model files for raincandy-u/TinyStories-656K.

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
TinyStories-656K-Q2_K.gguf Q2_K 0.001 GB smallest, significant quality loss - not recommended for most purposes
TinyStories-656K-Q3_K_S.gguf Q3_K_S 0.001 GB very small, high quality loss
TinyStories-656K-Q3_K_M.gguf Q3_K_M 0.001 GB very small, high quality loss
TinyStories-656K-Q3_K_L.gguf Q3_K_L 0.001 GB small, substantial quality loss
TinyStories-656K-Q4_0.gguf Q4_0 0.001 GB legacy; small, very high quality loss - prefer using Q3_K_M
TinyStories-656K-Q4_K_S.gguf Q4_K_S 0.001 GB small, greater quality loss
TinyStories-656K-Q4_K_M.gguf Q4_K_M 0.001 GB medium, balanced quality - recommended
TinyStories-656K-Q5_0.gguf Q5_0 0.001 GB legacy; medium, balanced quality - prefer using Q4_K_M
TinyStories-656K-Q5_K_S.gguf Q5_K_S 0.001 GB large, low quality loss - recommended
TinyStories-656K-Q5_K_M.gguf Q5_K_M 0.001 GB large, very low quality loss - recommended
TinyStories-656K-Q6_K.gguf Q6_K 0.001 GB very large, extremely low quality loss
TinyStories-656K-Q8_0.gguf Q8_0 0.001 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/TinyStories-656K-GGUF --include "TinyStories-656K-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/TinyStories-656K-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'