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 8000, checkpoint
Browse files
last-checkpoint/adapter_config.json
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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/scheduler.pt
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last-checkpoint/trainer_state.json
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| 7841 |
}
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| 7842 |
],
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| 7843 |
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|
|
@@ -7857,7 +8379,7 @@
|
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| 7857 |
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| 7838 |
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