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 11250, checkpoint
Browse files
last-checkpoint/adapter_config.json
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"task_type": "CAUSAL_LM",
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"rank_pattern": {},
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"target_parameters": null,
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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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"best_global_step":
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"best_model_checkpoint": "./lfm25-kodcode-lora/checkpoint-
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"eval_steps": 250,
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"global_step":
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"eval_samples_per_second": 5.851,
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"eval_steps_per_second": 1.464,
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"step": 10750
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|
| 11234 |
}
|
| 11235 |
],
|
| 11236 |
"logging_steps": 10,
|
|
@@ -11250,7 +11772,7 @@
|
|
| 11250 |
"attributes": {}
|
| 11251 |
}
|
| 11252 |
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| 11253 |
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| 11254 |
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| 11255 |
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| 11256 |
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| 1 |
{
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| 3 |
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| 5 |
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| 6 |
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| 11231 |
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| 11265 |
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