Instructions to use OfflineBase/Muse-Glimmer-30B-Knowledge-Stage1-Multi-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use OfflineBase/Muse-Glimmer-30B-Knowledge-Stage1-Multi-LoRA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-models/Muse-Glimmer-30B") model = PeftModel.from_pretrained(base_model, "OfflineBase/Muse-Glimmer-30B-Knowledge-Stage1-Multi-LoRA") - Notebooks
- Google Colab
- Kaggle
Muse Glimmer 30B Knowledge, Stage1-Multi LoRA adapter
Built with Muse Spark Open. A community fine-tune, not an official Meta release.
LoRA adapter from the Glimmer 2026 knowledge run: stage 1 on 8x A100 80GB, same data and settings as the GH200 run, in a different batch layout. This repo is private. Nothing here has had the license and personal-data review that a public release needs.
How it was made
199,309 examples, Unsloth LoRA rank 64, 6,229 steps, train loss 0.926. The model trained on question-and-answer pairs that Muse Spark Open and Muse Glimmer wrote about passages of 2026 public text. Not made-up data. Adapters load on Meta's BF16 base.
The adapter_config.json base path was changed from a local machine path to meta-models/Muse-Glimmer-30B. Nothing else was changed.
Measured
Tuned 30.8% against base 18.6% on 1,500. Old facts 40 of 40 both. 236 probes newly right, 53 newly wrong.
Greedy decoding, on the run log's test sets. Not run on a Jetson in any log we have.
Known limits
These come from tests of the Knowledge family, and not all were repeated on this file.
- It makes things up and states wrong answers as fact. Don't rely on it for facts without a source.
- The training data comes from public news and web text, including publishers' pages collected through CC-NEWS. Publishing weights trained on it is an open question in our run log.
- This model is not the released Knowledge model. That one is
OfflineBase/Muse-Glimmer-30B-2026-Knowledge.
License
Fine-tune of Muse Glimmer 30B (meta-models/Muse-Glimmer-30B, revision cec94fcfd6512f2cfe708138c32533b346ea4f69), which Meta releases under the Apache License 2.0.
Built with Muse Spark Open. Part of the training data was written by Muse Spark Open, so this model is a Derivative under the Muse Model License. These terms are carried from OfflineBase/Muse-Glimmer-30B-2026-Knowledge-LoRA:
- Keep
LICENSE,MUSE_MODEL_LICENSE.md,USAGE_POLICY.mdandNOTICEwith every copy you share. - Show "Built with Muse Spark Open" in your product's interface, documentation, website or settings menu.
- Follow the Muse Glimmer Usage Policy and the Muse Spark Open Usage Policy. Both say the models are not meant for people under 18, and both bar presenting outputs as written by a person. Tell your users the known dangers.
- Keep every other condition of the Muse Model License, including section 3.
Not an official Meta release. Meta has not reviewed or endorsed it. No warranty.
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Model tree for OfflineBase/Muse-Glimmer-30B-Knowledge-Stage1-Multi-LoRA
Base model
meta-models/Muse-Glimmer-30B