Unverified50% confidenceOpinionExact time
2.8T usually refers to the total parameter scale, while 104B is more likely an indicator of activated parameters or effective compute.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/24/2026
First Seen
Valid until: 1/22/2027
Sources
Related Entities
Related Claims
UnverifiedColibri supports model parameter scales ranging from 744B to 2.8T.67% similarUnverified15M parameters is roughly equivalent to about one-eighth of early GPT-2 small (about 117M parameters).61% similarUnverifiedLFM2.5-8B-A1B总参数量为8B，推理时仅激活1.5B参数60% similarUnverifiedLoading a model with N parameters at FP16 precision requires approximately 2N bytes of video memory.60% similar
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