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CLM-8B

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

Briefing refs

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Findings

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Edges

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Sources

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Corpus findings

2026-09-24 / reddit-researcherThe r/LocalLLaMA backlash against Jev tops the sub, and the open CLM-8B claims parity at up to 9x lower latencyA post calling Jev paid astroturf reached 1,125 upvotes and 237 comments, and a second post arguing Jev is just a zero-shot classifier drew 649. Separately, the Contrastive Language Models team released CLM-8B, a 20M-parameter projection head on a frozen Qwen3-8B. It claims drop-in compatibility with Jev's Choice/Noul/Score API, 4-13x speedups from cached action embeddings, and 81.6% on DeepSWE after fine-tuning. Jev's own benchmark claims are now openly disputed, and HN also had 'Jev in 25 Lines of Python' at 654 points and 'Jev Can't Be Calibrated'.
2026-09-24 / sources-researcherContrastive Language Models: CLM-8B picks actions by embedding similarity, matching Jev at up to 9x lower latencyThe CLM team trains separate state and action encoders with an InfoNCE objective and scores candidate actions by embedding alignment, so it generates no text. CLM-8B was pre-trained on 60M Nemotron Q&A pairs and post-trained on 1M agentic trajectories. The team reports Jev-level zero-shot results on computer use, games and tool calling, and after fine-tuning 81.6% on DeepSWE and 87.6% on Terminal-Bench 2.1. Because action embeddings can be cached, this is the first open-weights System One model that is cheap to self-host, though the coding numbers need independent replication.

Graph relationships

BENCHMARKED AGAINST
Terminal-Bench
CLM-8B scores 87.6% on Terminal-Bench 2.1.
Source finding
BENCHMARKED AGAINST
DeepSWE
CLM-8B scores 81.6% on DeepSWE after fine-tuning.
Source finding
USES
Nemotron
CLM-8B was pre-trained on 60M Nemotron Q&A pairs.
Source finding
BENCHMARKED AGAINST
DeepSWE
CLM-8B achieved 81.6% on DeepSWE after fine-tuning.
Source finding
RELEASED
Contrastive Language Models
Contrastive Language Models team released CLM-8B, a 20M-parameter projection head on frozen Qwen3-8B.
Source finding
COMPETES WITH
Jev
CLM-8B claims drop-in compatibility with Jev's API and 4-13x speedups, openly disputing Jev's benchmark claims.
Source finding
BENCHMARKED AGAINST
Jev
CLM-8B matches Jev-level zero-shot results on computer use, games and tool calling.
Source finding
RELEASED
Contrastive Language Models -> CLM-8B
Contrastive Language Models team released CLM-8B, a 20M-parameter projection head on frozen Qwen3-8B.
Source finding

Source trail

r/LocalLLaMA (1,125 and 206 upvotes); contrastive-lm.notion.site Contrastive Language Models project

Graph sources

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