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SmolLM-360M-GGUF

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metadata
library_name: transformers
license: apache-2.0
language:
  - en
datasets:
  - HuggingFaceTB/smollm-corpus
base_model: HuggingFaceTB/SmolLM-360M
tags:
  - TensorBlock
  - GGUF
TensorBlock

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HuggingFaceTB/SmolLM-360M - GGUF

This repo contains GGUF format model files for HuggingFaceTB/SmolLM-360M.

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
SmolLM-360M-Q2_K.gguf Q2_K 0.204 GB smallest, significant quality loss - not recommended for most purposes
SmolLM-360M-Q3_K_S.gguf Q3_K_S 0.204 GB very small, high quality loss
SmolLM-360M-Q3_K_M.gguf Q3_K_M 0.219 GB very small, high quality loss
SmolLM-360M-Q3_K_L.gguf Q3_K_L 0.229 GB small, substantial quality loss
SmolLM-360M-Q4_0.gguf Q4_0 0.213 GB legacy; small, very high quality loss - prefer using Q3_K_M
SmolLM-360M-Q4_K_S.gguf Q4_K_S 0.242 GB small, greater quality loss
SmolLM-360M-Q4_K_M.gguf Q4_K_M 0.252 GB medium, balanced quality - recommended
SmolLM-360M-Q5_0.gguf Q5_0 0.250 GB legacy; medium, balanced quality - prefer using Q4_K_M
SmolLM-360M-Q5_K_S.gguf Q5_K_S 0.264 GB large, low quality loss - recommended
SmolLM-360M-Q5_K_M.gguf Q5_K_M 0.270 GB large, very low quality loss - recommended
SmolLM-360M-Q6_K.gguf Q6_K 0.342 GB very large, extremely low quality loss
SmolLM-360M-Q8_0.gguf Q8_0 0.360 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/SmolLM-360M-GGUF --include "SmolLM-360M-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/SmolLM-360M-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'