HEAD TO HEAD

clm vs intern-decision

Q: Can I run clm or intern-decision locally?

Yes, both: systemone pull contrastive-lm/clm and systemone pull internlm/intern-decision download the weights.

Contrastive-LM: clm and InternLM (Shanghai AI Laboratory): intern-decision, compared on what they decide, where they run, what they cost and what their publishers report.

The short version

Both have open weights you can download and run.
Both answer choice, score, noul, classify and route questions.
Only clm answers rank.
intern-decision is the smaller model, at 4.5B parameters to 8.0B.

Property	contrastive-lm/clm	internlm/intern-decision
Summary	Contrastive Language Models score a state against a set of candidate actions with a contrastive objective. Two projection heads on frozen Qwen3-8B embeddings, trained with InfoNCE; clm-serve maps Choice, Score and Noul onto candidate ranking.	Shanghai AI Laboratory's multimodal decision model. A fine-tune of Qwen3.5-4B's language backbone (vision tower frozen) that answers up to 16 Choice, Score and Noul questions about a state and up to eight images in one forward pass, with a fitted calibration temperature.
Decides	choice, score, noul, rank, classify, route	choice, score, noul, classify, route
Architecture	clm	intern-decision
Fine-tuned from	qwen/qwen3-8b	qwen/qwen3.5-4b
License	apache-2.0	apache-2.0
Availability	Open weights	Open weights
Hosted by	—	—
Input price	—	—
Decision accuracy	—	80.6%
Calibration error	—	—
Valid action rate	—	—
Median latency	—	44 ms
p95 latency	—

Figures are from each model’s manifest; accuracy and latency are what the publishers report, on their own suites and hardware. Add a third model.

Questions

What is the difference between clm and intern-decision?

clm is from Contrastive-LM and intern-decision from InternLM (Shanghai AI Laboratory). Both have open weights you can download and run. Both answer choice, score, noul, classify and route questions. Only clm answers rank. intern-decision is the smaller model, at 4.5B parameters to 8.0B.

Which is more accurate, clm or intern-decision?

Only intern-decision publishes an accuracy figure (80.6% on LocalLLaMA/typed-decisions test split (400 cases, 2,000 decisions)); clm does not, so there is no comparison to make without your own test.

Which is cheaper, clm or intern-decision?

clm: Free (open weights). intern-decision: Free (open weights). Open weights cost nothing per call beyond your own hardware.

Can I run clm or intern-decision locally?

Yes, both: systemone pull contrastive-lm/clm and systemone pull internlm/intern-decision download the weights.