Instructions to use ErrorAI/ed14e9d5-dff3-4c56-a423-77dda0f6993b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ErrorAI/ed14e9d5-dff3-4c56-a423-77dda0f6993b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("openlm-research/open_llama_3b") model = PeftModel.from_pretrained(base_model, "ErrorAI/ed14e9d5-dff3-4c56-a423-77dda0f6993b") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 433, checkpoint
Browse files
last-checkpoint/adapter_model.safetensors
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size 50899792
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last-checkpoint/optimizer.pt
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last-checkpoint/rng_state.pth
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size 14244
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last-checkpoint/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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size 1064
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size 1064
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last-checkpoint/trainer_state.json
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{
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"best_metric": null,
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"best_model_checkpoint": null,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"eval_samples_per_second": 16.848,
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"eval_steps_per_second": 8.424,
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"step": 327
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|
| 2331 |
}
|
| 2332 |
],
|
| 2333 |
"logging_steps": 1,
|
|
@@ -2342,12 +3084,12 @@
|
|
| 2342 |
"should_evaluate": false,
|
| 2343 |
"should_log": false,
|
| 2344 |
"should_save": true,
|
| 2345 |
-
"should_training_stop":
|
| 2346 |
},
|
| 2347 |
"attributes": {}
|
| 2348 |
}
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