metadata
base_model: davanstrien/Smol-Hub-tldr
library_name: transformers
model_name: SmolLM2-360M-tldr-sft-2025-02-12_15-13
tags:
- generated_from_trainer
- trl
- sft
- TensorBlock
- GGUF
license: mit
datasets:
- davanstrien/hub-tldr-dataset-summaries-llama
- davanstrien/hub-tldr-model-summaries-llama
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davanstrien/Smol-Hub-tldr - GGUF
This repo contains GGUF format model files for davanstrien/Smol-Hub-tldr.
The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4882.
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Model file specification
| Filename | Quant type | File Size | Description |
|---|---|---|---|
| Smol-Hub-tldr-Q2_K.gguf | Q2_K | 0.219 GB | smallest, significant quality loss - not recommended for most purposes |
| Smol-Hub-tldr-Q3_K_S.gguf | Q3_K_S | 0.219 GB | very small, high quality loss |
| Smol-Hub-tldr-Q3_K_M.gguf | Q3_K_M | 0.235 GB | very small, high quality loss |
| Smol-Hub-tldr-Q3_K_L.gguf | Q3_K_L | 0.246 GB | small, substantial quality loss |
| Smol-Hub-tldr-Q4_0.gguf | Q4_0 | 0.229 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| Smol-Hub-tldr-Q4_K_S.gguf | Q4_K_S | 0.260 GB | small, greater quality loss |
| Smol-Hub-tldr-Q4_K_M.gguf | Q4_K_M | 0.271 GB | medium, balanced quality - recommended |
| Smol-Hub-tldr-Q5_0.gguf | Q5_0 | 0.268 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| Smol-Hub-tldr-Q5_K_S.gguf | Q5_K_S | 0.283 GB | large, low quality loss - recommended |
| Smol-Hub-tldr-Q5_K_M.gguf | Q5_K_M | 0.290 GB | large, very low quality loss - recommended |
| Smol-Hub-tldr-Q6_K.gguf | Q6_K | 0.367 GB | very large, extremely low quality loss |
| Smol-Hub-tldr-Q8_0.gguf | Q8_0 | 0.386 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/Smol-Hub-tldr-GGUF --include "Smol-Hub-tldr-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/Smol-Hub-tldr-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'