Post describes calibration-guided low-bit compression of Hy4
A post published on August 29, 2026, says Tencent reduced the Hy4 preview from 1.5 TB to 200 GB by setting precision per layer. It reports results on two benchmarks.
Source: Post descreve compressão low-bit do Hy4 guiada por calibração (x.com). Text prepared with AI from this source.
What happened and what to do
In a post published on August 29, 2026, Tencent says it compressed the Hy4 preview from 1.5 TB to 200 GB, using calibration data to set precision per layer; some layers were set to 1.31 bits. The post reports scores of 83.2 on MCP Atlas and 81.3 on SWE-Bench Multi, against a stated reference of 82.9.
For a company operating large models, this approach can be assessed with a calibration and per-layer testing pipeline: measure memory use, latency, and quality on relevant tasks before and after compression. A dashboard can compare these metrics and show whether the reduced model size meets internal requirements. Decisions should rely on in-house testing, not solely on results reported in the post.
How the consultancy can help
Wendelmaques can assess your case’s memory and quality requirements, scope a per-layer compression evaluation, and implement the testing, monitoring, and dashboards needed to operate the solution.
Next step
Send a short description of your model, infrastructure constraints, and tasks that must retain quality to receive a scoped proposal.
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