Muse-Glimmer-30B-ctx128k on RTX 4090 (24GB)
MeasuredOn 2026-10-22, Muse-Glimmer-30B-ctx128k UD-Q4_K_XL ran at 53.7 tok/s (chat-short) on an RTX 4090 (24GB) with llama.cpp. Run r_jn2059subhm.
Workload results
| Workload | Backend | Model | decode tok/s | prefill tok/s | TTFT | p50 | p95 |
|---|---|---|---|---|---|---|---|
| chat-short | llama.cpp@0.7.0-dev (build 11803, commit a37cc4610) | Muse-Glimmer-30B-ctx128kUD-Q4_K_XL | 53.67tok/s | 651.7tok/s | 236ms | 18.6ms | 18.8ms |
| chat-long | llama.cpp@0.7.0-dev (build 11803, commit a37cc4610) | Muse-Glimmer-30B-ctx128kUD-Q4_K_XL | 51.75tok/s | 2,667.3tok/s | 1,177ms | 19.3ms | 19.5ms |
| concurrent-decode | llama.cpp@0.7.0-dev (build 11803, commit a37cc4610) | Muse-Glimmer-30B-ctx128kUD-Q4_K_XL | 53.16tok/s | — | — | 18.8ms | 19.0ms |
| agent-trace | llama.cpp@0.7.0-dev (build 11803, commit a37cc4610) | Muse-Glimmer-30B-ctx128kUD-Q4_K_XL | 48.94tok/s | 5,362.0tok/s | 363ms | 19.1ms | 19.3ms |
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https://llm-speed.com/r/r_jn2059subhmRelated benchmarks
- More Muse-Glimmer-30B-ctx128k benchmarks — every backend and rig that has run this model.
- More RTX 4090 (24GB) LLM benchmarks — every model measured on this hardware.
Provenance
- Run ID
- r_jn2059subhm
- Fingerprint hash
- Public key
- zT+G7XUpr8UZN0I15iNvJlGMt2884UpZ3VnZhrAmkuI=
- Received
- 2026-10-22 10:35:09