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pythia-31m-simplewiki-2048-GGUF

Text Generation
GGUF
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GGUF
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pythia-31m-simplewiki-2048-GGUF / README.md
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metadata
tags:
  - generated_from_trainer
  - TensorBlock
  - GGUF
metrics:
  - accuracy
inference:
  parameters:
    max_new_tokens: 64
    do_sample: true
    repetition_penalty: 1.1
    no_repeat_ngram_size: 5
    guidance_scale: 1.01
    eta_cutoff: 0.001
widget:
  - text: My name is El Microondas the Wise and
    example_title: El Microondas
  - text: A meme is
    example_title: meme
  - text: >-
      Barack Obama nominated Hilary Clinton as his secretary of state on Monday.
      He chose her because she had
    example_title: Coreference resolution
  - text: >-
      On a shelf, there are five books: a gray book, a red book, a purple book,
      a blue book, and a black book
    example_title: Logic puzzles
  - text: >-
      The two men running to become New York City's next mayor will face off in
      their first debate Wednesday night
    example_title: Reading comprehension
datasets:
  - pszemraj/simple_wikipedia_LM
pipeline_tag: text-generation
license: apache-2.0
base_model: pszemraj/pythia-31m-simplewiki-2048
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pszemraj/pythia-31m-simplewiki-2048 - GGUF

This repo contains GGUF format model files for pszemraj/pythia-31m-simplewiki-2048.

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

Prompt template

Model file specification

Filename Quant type File Size Description
pythia-31m-simplewiki-2048-Q2_K.gguf Q2_K 0.017 GB smallest, significant quality loss - not recommended for most purposes
pythia-31m-simplewiki-2048-Q3_K_S.gguf Q3_K_S 0.019 GB very small, high quality loss
pythia-31m-simplewiki-2048-Q3_K_M.gguf Q3_K_M 0.019 GB very small, high quality loss
pythia-31m-simplewiki-2048-Q3_K_L.gguf Q3_K_L 0.019 GB small, substantial quality loss
pythia-31m-simplewiki-2048-Q4_0.gguf Q4_0 0.021 GB legacy; small, very high quality loss - prefer using Q3_K_M
pythia-31m-simplewiki-2048-Q4_K_S.gguf Q4_K_S 0.021 GB small, greater quality loss
pythia-31m-simplewiki-2048-Q4_K_M.gguf Q4_K_M 0.021 GB medium, balanced quality - recommended
pythia-31m-simplewiki-2048-Q5_0.gguf Q5_0 0.023 GB legacy; medium, balanced quality - prefer using Q4_K_M
pythia-31m-simplewiki-2048-Q5_K_S.gguf Q5_K_S 0.023 GB large, low quality loss - recommended
pythia-31m-simplewiki-2048-Q5_K_M.gguf Q5_K_M 0.023 GB large, very low quality loss - recommended
pythia-31m-simplewiki-2048-Q6_K.gguf Q6_K 0.025 GB very large, extremely low quality loss
pythia-31m-simplewiki-2048-Q8_0.gguf Q8_0 0.032 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/pythia-31m-simplewiki-2048-GGUF --include "pythia-31m-simplewiki-2048-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/pythia-31m-simplewiki-2048-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'