# NVIDIA releases the open-weight Nemotron 3.5 Bolt E4B 4GB model



NVIDIA



NVIDIA has released Nemotron 3.5 Bolt E4B 4GB, further post-trained from Gemma-4-E4B-it for local assistants, interactive characters and edge devices. The model card lists 8B total parameters, 4B effective parameters, Q4_K_M quantization and text-only input and output of up to 64K tokens each. In the official Reachy Mini demo, Bolt handles conversation and NVIDIA Cosmos handles vision; both run locally on Jetson Orin Nano 8GB. Vision is not a capability of Bolt itself. Weights are available under OpenMDW 1.1 for commercial and non-commercial use. Training data and recipes are provided, but some datasets require access approval. Scale Labs reports a 56.03% MultiChallenge score and first place among small models; this external result is separate from the model card’s internal evaluation.


## Availability

Weights are available on Hugging Face under OpenMDW 1.1 for commercial and non-commercial use; some training data requires access approval.
- Released: Oct 23, 2026
- Review updated: Oct 24, 2026 09:11 Sat · Beijing Time (UTC+8)

## Sources

- Source excerpt: https://x.com/NVIDIAAI/status/2113657112408785153
- Source excerpt: https://x.com/NVIDIAAI/status/2113657115890118764
- Source excerpt: https://x.com/NVIDIAAI/status/2113663063933272247
- Source excerpt: https://huggingface.co/nvidia/NVIDIA-Nemotron-3.5-Bolt-E4B-4GB

Canonical entry: https://www.ailyre.com/source/?id=nvidia-nemotron-3-5-bolt-e4b-4gb&lang=en