How to use from
Unsloth Studio
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for sthaps/Maincoder-1B to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for sthaps/Maincoder-1B to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for sthaps/Maincoder-1B to start chatting
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Maincoder-1B - GGUF

About

This repository contains GGUF weights for Maincode/Maincoder-1B.

For a convenient overview and download list, visit our model page.

Usage

If you are unsure how to use GGUF files, refer to the llama.cpp documentation for more details.

Llama.cpp CLI

./llama-cli -m Maincoder-1B-q4_k_m.gguf -p "Hello!"

Provided Quants

(sorted by size, not necessarily quality)

Link Type Size/GB Notes
GGUF q2_k 0.46 very low quality, for testing
GGUF q3_k_m 0.54
GGUF q4_0 0.60
GGUF q4_k_m 0.63 recommended, good balance
GGUF q5_k_m 0.71
GGUF q8_0 1.02 near-full precision

Thanks

Special thanks to the llama.cpp team for their amazing work.

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GGUF
Model size
1B params
Architecture
maincoder
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