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metadata
language: en
license: apache-2.0
tags:
  - text-generation
  - transformers
  - mental-health
  - gpt-2
  - conversational-ai
  - TensorBlock
  - GGUF
datasets:
  - custom-dataset
  - kaggle
metrics:
  - perplexity
  - BLEU
  - ROUGE
base_model: TheCarBun/GPT-2-fine-tuned-mental-health
TensorBlock

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TheCarBun/GPT-2-fine-tuned-mental-health - GGUF

This repo contains GGUF format model files for TheCarBun/GPT-2-fine-tuned-mental-health.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b5165.

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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
GPT-2-fine-tuned-mental-health-Q2_K.gguf Q2_K 0.069 GB smallest, significant quality loss - not recommended for most purposes
GPT-2-fine-tuned-mental-health-Q3_K_S.gguf Q3_K_S 0.074 GB very small, high quality loss
GPT-2-fine-tuned-mental-health-Q3_K_M.gguf Q3_K_M 0.081 GB very small, high quality loss
GPT-2-fine-tuned-mental-health-Q3_K_L.gguf Q3_K_L 0.086 GB small, substantial quality loss
GPT-2-fine-tuned-mental-health-Q4_0.gguf Q4_0 0.085 GB legacy; small, very high quality loss - prefer using Q3_K_M
GPT-2-fine-tuned-mental-health-Q4_K_S.gguf Q4_K_S 0.085 GB small, greater quality loss
GPT-2-fine-tuned-mental-health-Q4_K_M.gguf Q4_K_M 0.091 GB medium, balanced quality - recommended
GPT-2-fine-tuned-mental-health-Q5_0.gguf Q5_0 0.095 GB legacy; medium, balanced quality - prefer using Q4_K_M
GPT-2-fine-tuned-mental-health-Q5_K_S.gguf Q5_K_S 0.095 GB large, low quality loss - recommended
GPT-2-fine-tuned-mental-health-Q5_K_M.gguf Q5_K_M 0.100 GB large, very low quality loss - recommended
GPT-2-fine-tuned-mental-health-Q6_K.gguf Q6_K 0.107 GB very large, extremely low quality loss
GPT-2-fine-tuned-mental-health-Q8_0.gguf Q8_0 0.137 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/TheCarBun_GPT-2-fine-tuned-mental-health-GGUF --include "GPT-2-fine-tuned-mental-health-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/TheCarBun_GPT-2-fine-tuned-mental-health-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'