Instructions to use enseven/lfm-2.5-think-code with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use enseven/lfm-2.5-think-code with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("LiquidAI/LFM2.5-1.2B-Thinking") model = PeftModel.from_pretrained(base_model, "enseven/lfm-2.5-think-code") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 7000, checkpoint
Browse files
last-checkpoint/adapter_config.json
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"task_type": "CAUSAL_LM",
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"task_type": "CAUSAL_LM",
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last-checkpoint/adapter_model.safetensors
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last-checkpoint/optimizer.pt
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last-checkpoint/rng_state_0.pth
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last-checkpoint/rng_state_1.pth
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last-checkpoint/scheduler.pt
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last-checkpoint/trainer_state.json
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