2026-10-11 17:11 UTC

Equivalent-Grass-527 reports that OpenBMB’s released MiniCPM5-2B scores 15 on Artificial Analysis Intelligence Index v4.2, leading open-weight models at 4B parameters or below and potentially improving the quality available for resource-constrained local inference.

state: resolvedheat: lowuncertainty: mediumknownscott: lowopen-models local-inference small-modelsOpenBMBArtificial Analysis

What is this?

MiniCPM5-2B is an OpenBMB model release: an Artificial Analysis article’s related-news section explicitly lists “OpenBMB releases MiniCPM5-2B,” dated September 7, 2026. The case reports a score of 15 on Artificial Analysis Intelligence Index v4.2 and leadership among open-weight models with at most 4B parameters, but the supplied snippets do not substantiate either claim; the tiny-model listing instead names other leaders, without establishing a comparable date or index version. OpenBMB’s repository snippet describes the separate MiniCPM5-1B as intended for on-device and resource-constrained use, so the 2B release’s actual local-inference performance and release artifacts remain unverified here.

Why it matters to Scott

As supplied, this is another instance of Scott’s already-held Model Perishability position: model progress warrants replaceable backends and re-evaluation, with his gamepc/Ollama stack providing a concrete testing destination. The radar hits do not establish prior coverage of this release, but its claimed benchmark lead, local performance and serving compatibility remain unverified, so it does not yet justify changing his model choices or arguments.
ip:concept.model-perishabilitydev:project.gamepcdev:technology.ollamaradar:concept.open-modelsradar:concept.local-inferenceradar:concept.small-models
queries asked of Scott's wikis
  • small local models capability thresholds task routing
  • on-device inference memory budgets quantization latency
  • open-weight models sovereignty deployment control
  • benchmark scores versus coding agent reliability
  • local models RAG extraction agent memory maintenance

Measured heat

now 0 pts/hpeak 6 pts/hcomments 0/hpeers p47momentum: steady2 platformsage 653h
points/hour across evidence · reading as of 2026-10-05 05:26:00.557932+11:00 · deterministic, not a model opinion

How the heat travelled

09-07 14:24 (minted)⭐ origin echo-reconstructedThe release-day post links OpenBMB’s MiniCPM repository and MiniCPM5-2B model weights as the release artifacts.
OpenBMB on github (echo) · attributed from reddit.post.1w9skjz · published time unknown
—
09-07 13:43first on r/LocalLLaMA · published · lag ?MiniCPM5-2B Release Day
Equivalent-Grass-527
—
09-07 13:43amplified on r/LocalLLaMA 👑reddit.post.1w9skjz
Equivalent-Grass-527
peak 330 · 106 comments · 83% of case engagement
09-14 17:02amplified on r/LocalLLaMAreddit.post.1wg97cp
paf1138
peak 32 · 8 comments · 8% of case engagement
09-16 13:58amplified on r/LocalLLaMAreddit.post.1why0um
Equivalent-Grass-527
peak 29 · 13 comments · 8% of case engagement
09-22 14:30amplified on r/LocalLLaMAreddit.post.1wnb30v
Equivalent-Grass-527
peak 0 · 3 comments · 1% of case engagement
10-04 17:52amplified on r/LocalLLaMAreddit.post.1wxlw2c
parepeg
peak 3 · 1 comments · 1% of case engagement
09-07 14:20our radar first saw it · lag ?discovery anchor: reddit.post.1w9skjz—

Evidence (6) — ⭐ canonical anchor

sourceobjectauthorscorecomments
🟠 redditMiniCPM5-2B Release Day
LocalLLaMA
Equivalent-Grass-527326106
🟧 echo.github ⭐The release-day post links OpenBMB’s MiniCPM repository and MiniCPM5-2B model weights as the release artifacts.OpenBMB——
🟠 redditCoding Agent running entirely in the browser with Pi + MiniCPM5-2B (webGPU)
LocalLLaMA
paf1138308
🟠 redditMiniCPM5-2B vs. Spark-X2.5-4B / -64% thinking, x1.5 speed while keeping the accuracy of xhigh
LocalLLaMA
Equivalent-Grass-5272913
🟠 redditI found a coding agent running entirely in the browser with a 2B model 🤯
LocalLLaMA
Equivalent-Grass-52703
🟠 redditLFM2.5 2.6b vs MiniCPM5 2b
LocalLLaMA
parepeg24

Interpretation history

Decision trace