Papers/2610.33039
🧪 Test?View on arXiv

Nemotron 3.5 Bolt 74B-A9B 24GB: A Hybrid Vision-Language Model for Local AI

Not specified in the provided content

multimodalreasoningagentic tool use
2610.33039
Builder Relevance
80%
1h ago

Abstract

Nemotron 3.5 Bolt 74B-A9B 24GB is a hybrid vision-language model optimized for local agentic workloads.

Reality Card

Core Claim

The model achieves higher accuracy than leading models with similar memory footprints and speed across various benchmarks for agentic capabilities.

Method / Result

Achieves a TPS of 84 on RTX Spark, comparable to models with much lower active parameter counts.

Limitations

The paper does not specify authors or detailed experimental setups, which may hinder reproducibility.

Paper to code

Verified implementation resources so builders can test the paper’s claims instead of stopping at the abstract.

No verified implementation link has been attached yet. AIBuzzHub will keep this panel separate from unverified search results.
← Back to all papers