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
Browse files- adapter_model.safetensors +1 -1
- last-checkpoint/adapter_config.json +7 -7
- last-checkpoint/adapter_model.safetensors +2 -2
- last-checkpoint/optimizer.pt +2 -2
- last-checkpoint/rng_state_0.pth +1 -1
- last-checkpoint/rng_state_1.pth +1 -1
- last-checkpoint/scheduler.pt +1 -1
- last-checkpoint/trainer_state.json +6 -3138
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|
| 3926 |
}
|
| 3927 |
],
|
| 3928 |
"logging_steps": 10,
|
|
|
|
| 3942 |
"attributes": {}
|
| 3943 |
}
|
| 3944 |
},
|
| 3945 |
+
"total_flos": 3.23806700379308e+17,
|
| 3946 |
"train_batch_size": 2,
|
| 3947 |
"trial_name": null,
|
| 3948 |
"trial_params": null
|