metadata
datasets: HuggingFaceFW/fineweb-edu
widget:
- example_title: Example interaction
text: During photosynthesis in green plants
inference:
parameters:
repetition_penalty: 1.3
language:
- en
library_name: transformers
license: mit
base_model: rhysjones/gpt2-124M-edu-fineweb-10B
tags:
- TensorBlock
- GGUF
Feedback and support: TensorBlock's Twitter/X, Telegram Group and Discord server
rhysjones/gpt2-124M-edu-fineweb-10B - GGUF
This repo contains GGUF format model files for rhysjones/gpt2-124M-edu-fineweb-10B.
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 |
---|---|---|---|
gpt2-124M-edu-fineweb-10B-Q2_K.gguf | Q2_K | 0.076 GB | smallest, significant quality loss - not recommended for most purposes |
gpt2-124M-edu-fineweb-10B-Q3_K_S.gguf | Q3_K_S | 0.084 GB | very small, high quality loss |
gpt2-124M-edu-fineweb-10B-Q3_K_M.gguf | Q3_K_M | 0.091 GB | very small, high quality loss |
gpt2-124M-edu-fineweb-10B-Q3_K_L.gguf | Q3_K_L | 0.095 GB | small, substantial quality loss |
gpt2-124M-edu-fineweb-10B-Q4_0.gguf | Q4_0 | 0.099 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
gpt2-124M-edu-fineweb-10B-Q4_K_S.gguf | Q4_K_S | 0.100 GB | small, greater quality loss |
gpt2-124M-edu-fineweb-10B-Q4_K_M.gguf | Q4_K_M | 0.105 GB | medium, balanced quality - recommended |
gpt2-124M-edu-fineweb-10B-Q5_0.gguf | Q5_0 | 0.114 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
gpt2-124M-edu-fineweb-10B-Q5_K_S.gguf | Q5_K_S | 0.114 GB | large, low quality loss - recommended |
gpt2-124M-edu-fineweb-10B-Q5_K_M.gguf | Q5_K_M | 0.118 GB | large, very low quality loss - recommended |
gpt2-124M-edu-fineweb-10B-Q6_K.gguf | Q6_K | 0.129 GB | very large, extremely low quality loss |
gpt2-124M-edu-fineweb-10B-Q8_0.gguf | Q8_0 | 0.165 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/gpt2-124M-edu-fineweb-10B-GGUF --include "gpt2-124M-edu-fineweb-10B-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/gpt2-124M-edu-fineweb-10B-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'