Instructions to use burtenshaw/plan-my-day-v3-lfm2.5-r2-sft-r75 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use burtenshaw/plan-my-day-v3-lfm2.5-r2-sft-r75 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("LiquidAI/LFM2.5-1.2B-Instruct") model = PeftModel.from_pretrained(base_model, "burtenshaw/plan-my-day-v3-lfm2.5-r2-sft-r75") - Notebooks
- Google Colab
- Kaggle
r2-sft-r75-phase3-step330
Research checkpoint for synthetic four-choice schedule ranking. Not automatically promoted.
Results: https://huggingface.co/datasets/burtenshaw/plan-my-day-v3-results/tree/main/trials/r2-sft-r75
Frozen source: 2ebe7793b78c774d84a1f0c8e6fd2d2b9fda2495; data: 7a1f56c08bc7f2b21c385efdb1cddc103b6da99e.
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Model tree for burtenshaw/plan-my-day-v3-lfm2.5-r2-sft-r75
Base model
LiquidAI/LFM2.5-1.2B-Base Finetuned
LiquidAI/LFM2.5-1.2B-Instruct