Unverified50% confidenceFactExact time
Spatial-TRM has a total parameter count of 877.8 million (including the frozen vision-language feature extractor).
1
Sources
50%
Confidence
Long-term
Relevance
10/19/2026
First Seen
Sources
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Related Claims
VerifiedThe context windows of current mainstream large language models typically range from 8K to 200K tokens.58% similarVerifiedWhisper offers six language models: tiny (39 million parameters), base (74 million), small (244 million), medium (769 million), large (1.55 billion), and turbo (809 million).55% similarUnverifiedLarge language models typically have parameter counts in the tens to hundreds of billions, which exceeds the VRAM and compute capacity of a single personal device for full inference.55% similarUnverifiedIn experiments with 85 million non-embedding parameters and matched training token budgets, unconstrained fitting produced higher held-out average bits-per-byte across all 12 languages under a shared unconstrained decoder.54% similarUnverifiedSPW-Nav is proposed in a paper on arXiv titled "SPW-Nav: A Streaming Panoramic World Model for Language-Guided Navigation."54% similar
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