Muse-Glimmer-30B-ctx96k-kvq8 on RTX 4090 (24GB)
MeasuredOn 2026-10-22, Muse-Glimmer-30B-ctx96k-kvq8 UD-Q4_K_XL ran at 52.7 tok/s (chat-short) on an RTX 4090 (24GB) with llama.cpp. Run r_j_abawmxlle.
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-ctx96k-kvq8UD-Q4_K_XL | 52.74tok/s | 620.6tok/s | 248ms | 18.9ms | 19.1ms |
| chat-long | llama.cpp@0.7.0-dev (build 11803, commit a37cc4610) | Muse-Glimmer-30B-ctx96k-kvq8UD-Q4_K_XL | 51.11tok/s | 2,792.5tok/s | 1,124ms | 19.5ms | 19.8ms |
| concurrent-decode | llama.cpp@0.7.0-dev (build 11803, commit a37cc4610) | Muse-Glimmer-30B-ctx96k-kvq8UD-Q4_K_XL | 52.28tok/s | — | — | 19.1ms | 19.3ms |
| agent-trace | llama.cpp@0.7.0-dev (build 11803, commit a37cc4610) | Muse-Glimmer-30B-ctx96k-kvq8UD-Q4_K_XL | 49.50tok/s | 5,506.3tok/s | 366ms | 19.3ms | 19.7ms |
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https://llm-speed.com/r/r_j_abawmxlleRelated benchmarks
- More Muse-Glimmer-30B-ctx96k-kvq8 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_j_abawmxlle
- Fingerprint hash
- Public key
- 4NL/qUV5r8d1UAwNDfpFBTKmXKhNx2DEsLar0lNr9NU=
- Received
- 2026-10-22 10:43:37