Instructions to use harness-hub/LFM3-1.7B-opencode with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use harness-hub/LFM3-1.7B-opencode with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("LiquidAI/LFM3-1.7B") model = PeftModel.from_pretrained(base_model, "harness-hub/LFM3-1.7B-opencode") - Notebooks
- Google Colab
- Kaggle
Download hero.png from harness-hub/LFM3-1.7B-opencode: direct link, hf CLI and curl.
- Browser
- Download file 202 kB
-
https://huggingface.co/harness-hub/LFM3-1.7B-opencode/resolve/main/hero.png
- Command line
-
hf download hf://harness-hub/LFM3-1.7B-opencode/hero.png
-
curl -L -o hero.png https://huggingface.co/harness-hub/LFM3-1.7B-opencode/resolve/main/hero.png
202 kB

- Xet hash:
- cbd55637dfe180b56980a265b4575c712bdc4f2a6fb4a3b5608ab62c9258b883
- Size of remote file:
- 202 kB
- SHA256:
- 9a08334d459f2809200bd5067c7ee91cfe77bdf970198885a8cca8194e3edc4c
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