Instructions to use encredible/Gaiel-110B-Coding-Tuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use encredible/Gaiel-110B-Coding-Tuned with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("encredible/Gaiel-110B-Coding-Tuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use encredible/Gaiel-110B-Coding-Tuned with 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 encredible/Gaiel-110B-Coding-Tuned 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 encredible/Gaiel-110B-Coding-Tuned to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for encredible/Gaiel-110B-Coding-Tuned to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="encredible/Gaiel-110B-Coding-Tuned", max_seq_length=2048, )
๋ฒค์น๋งํฌ ยท ๊ฒ์ฆ ์ํ
์ด ๋ชจ๋ธ๊ตฐ์ ์ธก์ ๊ฒฐ๊ณผยท์ ๋ ฅยท์คํฌ๋ฆฝํธ๋ ์ ๋ถ ๊ณต๊ฐ๋์ด ์์ต๋๋ค โ gaiel-benchmarks
2026-08-19 ๊ฐ์ฌ์์ Gaiel ํ๊ตญ์ด ํ๋์ ์ธก์ ํ ๋ค ์ฒด๊ธ(1.5B/7B/8B/32B) ๋ชจ๋์์ ๋ฒ ์ด์ค๋ณด๋ค ๋ฎ์์ต๋๋ค. ํ๊ท๊ฐ ํ์ธ๋ ๋ ํฌ๋ ์ญ์ ํ๊ณ , ํ์ต ์ค์ ๊ณผ ์ธก์ ์น๋ docs/ARCHIVE.md ์ ๋จ๊ฒผ์ต๋๋ค.
โน๏ธ ์ด๊ฒ์ fuse ๋์ง ์์ LoRA ์ด๋ํฐ์ ๋๋ค (๋ฒ ์ด์ค: Qwen1.5-110B-Chat, ๊ตฌ์ธ๋). ์ค์ ์ฝ๋ฉ ํ์ต ๊ฒฐ๊ณผ์ ์ ์ผํ ์ฌ๋ณธ์ด๋ผ ๋ณด์กดํ์ต๋๋ค. ํ๊ฐ๋ ๋ฐ ์์ต๋๋ค.
Uploaded model
- Developed by: encredible
- License: apache-2.0
- Finetuned from model : Qwen/Qwen1.5-110B-Chat
This qwen2 model was trained 2x faster with Unsloth
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