Instructions to use harness-hub/LFM2.5-24B-A2B-opencode with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use harness-hub/LFM2.5-24B-A2B-opencode with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("LiquidAI/LFM2.5-24B-A2B") model = PeftModel.from_pretrained(base_model, "harness-hub/LFM2.5-24B-A2B-opencode") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from harness-hub/LFM2.5-24B-A2B-opencode: direct link, hf CLI and curl.
- Browser
- Download file 17.9 MB
-
https://huggingface.co/harness-hub/LFM2.5-24B-A2B-opencode/resolve/main/tokenizer.json
- Command line
-
hf download hf://harness-hub/LFM2.5-24B-A2B-opencode/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/harness-hub/LFM2.5-24B-A2B-opencode/resolve/main/tokenizer.json
17.9 MB
- Xet hash:
- 0336d70f7628cfddccf55b6bbb56a4f4524957dfe43eb08c20baaed805dcf80a
- Size of remote file:
- 17.9 MB
- SHA256:
- 695be7802a0e4b8a81048f0ff5ebb7fc811a0ba5a6be63dbb24deb5a81096f41
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