Instructions to use joshycodes/fve-msm-exp2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joshycodes/fve-msm-exp2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("joshycodes/fve-msm-exp2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
21 days ago
-
Record the allocator setting (expandable_segments) of three Gemma RunPod runs; current launch script
Verified signatureGemma facts run 1 and protect runs 1 and 3 OOMed on RunPod from allocator fragmentation and were relaunched with PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True (already set by the Slurm job template). Allocator setting only; no change to the computation.df9bf6f -
Restore release docs, data and per-run configs without the duplicated weights (part 2)
Verified signatureThe release repo previously held byte-identical copies of every checkpoint's weights (1.02 TB), which pushed the account over its public storage limit on 2026-10-15. The weights stay in the per-run model repos; this repo now links to them. All 292 non-weight files are restored unchanged.53b43be