Instructions to use SynthCode-Project/OLMo2-7B-all-milestones with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SynthCode-Project/OLMo2-7B-all-milestones with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SynthCode-Project/OLMo2-7B-all-milestones", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download g2_1_oldcode_cm_newcode__edit/1000M/train_results.json from SynthCode-Project/OLMo2-7B-all-milestones: direct link, hf CLI and curl.
- Browser
- Download file 226 Bytes
-
https://huggingface.co/SynthCode-Project/OLMo2-7B-all-milestones/resolve/main/g2_1_oldcode_cm_newcode__edit/1000M/train_results.json
- Command line
-
hf download hf://SynthCode-Project/OLMo2-7B-all-milestones/g2_1_oldcode_cm_newcode__edit/1000M/train_results.json
-
curl -L -o train_results.json https://huggingface.co/SynthCode-Project/OLMo2-7B-all-milestones/resolve/main/g2_1_oldcode_cm_newcode__edit/1000M/train_results.json
226 Bytes
| { | |
| "epoch": 0.9346246973365617, | |
| "total_flos": 4.547514943786923e+19, | |
| "train_loss": 0.003304087116779207, | |
| "train_runtime": 610.4281, | |
| "train_samples_per_second": 220.055, | |
| "train_steps_per_second": 18.338 | |
| } |