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
Update models/qwen3-14b-base/control/run-3 from joshycodes/qwen3-14b-base-fve-msm-control-s3@0dae09e9
Browse filesCopied from joshycodes/qwen3-14b-base-fve-msm-control-s3 at revision 0dae09e9da5e9bbd0a4a236ce7ff2d32228774ed by sync_release.py (2026-10-16 12:00 AM PT). Excluded: .gitattributes, README.md and the weights (*.safetensors), which stay in the source repo; WEIGHTS.json pins them. No secrets found.
models/qwen3-14b-base/control/run-3/WEIGHTS.json
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{
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"weights_repo": "joshycodes/qwen3-14b-base-fve-msm-control-s3",
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"revision": "0dae09e9da5e9bbd0a4a236ce7ff2d32228774ed",
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"url": "https://huggingface.co/joshycodes/qwen3-14b-base-fve-msm-control-s3/tree/0dae09e9da5e9bbd0a4a236ce7ff2d32228774ed",
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"load": "AutoModelForCausalLM.from_pretrained('joshycodes/qwen3-14b-base-fve-msm-control-s3', revision='0dae09e9da5e9bbd0a4a236ce7ff2d32228774ed')",
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"note": "This release folder holds the checkpoint's configs, tokenizer and training log; the weights are the files below, in the weights repo at this revision.",
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"files": [
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{
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"name": "model.safetensors",
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"size": 29536666272,
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"sha256": "9e040d9478aa88f9e2117c33a40b7c47e256c29f82c81dad5701fc8489e894ed"
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}
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]
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}
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