← Sunday, September 27, 2026Models & trainingRelease
CLM-v0.1-8B matches Jev on agent tasks at up to 9× lower latency
CLM adds state and action projection heads to a frozen Qwen3-8B encoder, trained with bidirectional InfoNCE; the listing reports parity with Jev on computer use, gaming and tool calling at up to 9× lower latency. The technique and latency claim merit investigation for agent systems.
- What
- CLM-v0.1-8B is a contrastive language model for ranking candidates and answering typed questions about a state.
- How
- Two projection heads for states and actions sit on a frozen Qwen3-8B encoder, trained with a bidirectional InfoNCE loss.
- Why it matters
- Separate state and action encodings allow action embeddings to be reused; the excerpt reports faster ranking with many candidates.
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