Unverified50% confidenceFactExact time
The Jeff model is a decision-specific model series developed in-house by Bespoke Labs, with parameter counts ranging from 0.8B to 1.4B, while the Nimble series is fine-tuned on a Qwen base.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/7/2026
First Seen
Valid until: 1/5/2027
Sources
Related Entities
Related Claims
UnverifiedThe Jeff project distilled and fine-tuned two base models, Qwen3.5 and Gemma 4, into decision models with 0.8B and 2B parameters respectively.75% similarVerified混合专家架构MoE通过稀疏激活机制，推理时只激活模型总参数的1/8至1/467% similarUnverifiedModelScope has launched the InternDecision series of models, covering three parameter scales of 0.8B, 2B, and 4B, targeting multimodal and structured decision-making tasks.64% similarUnverifiedJeff is a fast decision-making model released by Anthropic, positioned as a System 1-style intuitive judgment model.63% similarUnverifiedDifferent model vendors have their own reasoning parameter systems: Anthropic uses budget_tokens to control the thinking token ceiling, OpenAI uses reasoning_effort (low/medium/high), and Amazon Bedrock's Nova series uses maxReasoningEffort63% similar
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