QUASAR-trained Blackwell W4A4 build of Muse Glimmer 30B at 21.8 GiB, reporting 20% lower KL to BF16 than Red Hat's NVFP4 W4A4 checkpoint.
Resource · Local & open models· ♥ 3
A quantization-aware-trained Q4_0 GGUF of Muse Glimmer 30B for llama.cpp. On held-out tokens it measures closer to BF16 than Meta's official Q4_K_M: 0.0213 vs 0.0228 KL and 95.9% vs 95.6% top-token agreement.
Resource · Local & open models· ♥ 3
Muse Glimmer 30B native Q4_0 QAT GGUF
A Muse agent receives a one-time secret two ways: the hard way (email link, redacted URL, dropped decryption key — 45 min) and the agent-native way (a Claude agent creates the request with one Qatom call + ~$0.10, the Muse agent retrieves with one free call — 2 seconds, secret delivered once then deleted). Secure Secrets Exchange on Qatom. Tool: https://github.com/StarwaterHeaven/secure-secrets-exchange — full story: https://github.com/StarwaterHeaven/qatom-use-cases/blob/main/stories/sse-credential-handoff-torque.pdf
Video · Agents & automation
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