Safetensors
Japanese
English
chemistry
information-extraction
lora
unsloth
4bit
compound-name-linking
graph-rag
cpu-inference
ollama
Instructions to use MitzMitz/Llama-ChemLink-Parser-8B-MTYS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps Settings
- Unsloth Studio
How to use MitzMitz/Llama-ChemLink-Parser-8B-MTYS 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 MitzMitz/Llama-ChemLink-Parser-8B-MTYS 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 MitzMitz/Llama-ChemLink-Parser-8B-MTYS to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for MitzMitz/Llama-ChemLink-Parser-8B-MTYS to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="MitzMitz/Llama-ChemLink-Parser-8B-MTYS", max_seq_length=2048, )
- Xet hash:
- ba82e7f8d68026730f675b0d5b6dd2756db4c18801c74bc82efbbe319c833555
- Size of remote file:
- 17.2 MB
- SHA256:
- 268aef6511a866fd03104209ff6592ded093172c0cdaf8885ff9c97d62e32869
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