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distilgpt2-finetuned-microbiology-GGUF

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metadata
license: apache-2.0
base_model: as-cle-bert/distilgpt2-finetuned-microbiology
tags:
  - generated_from_trainer
  - TensorBlock
  - GGUF
widget:
  - text: Microorganisms are involved in the decomposition of organic matter,
  - text: Some microorganisms, such as yeast and certain bacteria, can convert
  - text: Microbial biotechnology can be used to increase the efficiency and
  - text: Some viruses carry oncogenes, which are genes that
  - text: >-
      Employing a diverse group of microorganisms with complementary pollutant
      degradation
  - text: Synthetic biology is an interdisciplinary field that combines
  - text: Disruption of the microbiota due to antifungal drug use can
  - text: Knowledge of microorganisms' genetic makeup can be used to
  - text: Bacteriophages, or phages, are viruses that
  - text: >-
      Microorganisms, such as bacteria and yeast, can be genetically engineered
      to produce
  - text: Changes in microbial diversity within aquatic ecosystems can
model-index:
  - name: distilgpt2-finetuned-microbiology
    results: []
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as-cle-bert/distilgpt2-finetuned-microbiology - GGUF

This repo contains GGUF format model files for as-cle-bert/distilgpt2-finetuned-microbiology.

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
distilgpt2-finetuned-microbiology-Q2_K.gguf Q2_K 0.065 GB smallest, significant quality loss - not recommended for most purposes
distilgpt2-finetuned-microbiology-Q3_K_S.gguf Q3_K_S 0.072 GB very small, high quality loss
distilgpt2-finetuned-microbiology-Q3_K_M.gguf Q3_K_M 0.075 GB very small, high quality loss
distilgpt2-finetuned-microbiology-Q3_K_L.gguf Q3_K_L 0.078 GB small, substantial quality loss
distilgpt2-finetuned-microbiology-Q4_0.gguf Q4_0 0.082 GB legacy; small, very high quality loss - prefer using Q3_K_M
distilgpt2-finetuned-microbiology-Q4_K_S.gguf Q4_K_S 0.082 GB small, greater quality loss
distilgpt2-finetuned-microbiology-Q4_K_M.gguf Q4_K_M 0.085 GB medium, balanced quality - recommended
distilgpt2-finetuned-microbiology-Q5_0.gguf Q5_0 0.093 GB legacy; medium, balanced quality - prefer using Q4_K_M
distilgpt2-finetuned-microbiology-Q5_K_S.gguf Q5_K_S 0.093 GB large, low quality loss - recommended
distilgpt2-finetuned-microbiology-Q5_K_M.gguf Q5_K_M 0.095 GB large, very low quality loss - recommended
distilgpt2-finetuned-microbiology-Q6_K.gguf Q6_K 0.103 GB very large, extremely low quality loss
distilgpt2-finetuned-microbiology-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/distilgpt2-finetuned-microbiology-GGUF --include "distilgpt2-finetuned-microbiology-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/distilgpt2-finetuned-microbiology-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'