Can the RTX 6000D run Muse Glimmer?
Yes. Muse Glimmer fits the RTX 6000D's 84 GB at Q4_K_M (about 11.8 GB needed), running at an estimated 90 tok/s. There's room for up to FP16 if you want higher quality.
Every quantization
Muse Glimmer (18.1B) on 84 GB
| Quant | Weights | Needs | Fit | Est. speed |
|---|---|---|---|---|
| Q4_K_M | 10 GB | 11.8 GB | Fits easily | ~90 tok/s |
| Q5_K_M | 13 GB | 14.8 GB | Fits easily | ~69 tok/s |
| Q8_0 | 19 GB | 20.8 GB | Fits easily | ~47 tok/s |
| FP16 | 36 GB | 37.8 GB | Fits easily | ~25 tok/s |
Estimates. Needs = weights + 1.8 GB for KV cache and runtime at modest context. Speed is single-stream decode scaled from the RTX 6000D's 1570 GB/s bandwidth (Estimated from memory bandwidth (llama.cpp decode)). Long contexts need more memory and run slower.
Compare
Same model, other hardware - and other models on this card
Muse Glimmer on other hardware
- RTX 5090~103 tok/s
- RTX 5090 D~103 tok/s
- RTX 4090~63 tok/s
- RTX 3090~55 tok/s
- Radeon RX 7900 XTX~55 tok/s
- RTX 5080~55 tok/s
- RTX 3080 Ti~52 tok/s
- RTX 5080 Mobile~51 tok/s
Also runs on the RTX 6000D
- Llama 3.3 70B~23 tok/s
- deepseek-v4-flash-0731-spark~26 tok/s
- Qwen3.6 35B A3B~343 tok/s
- dolphin-2.9.1-yi-1.5-34b~45 tok/s
- Laguna-XS-2.1~47 tok/s
- Gemma 4 31B~47 tok/s
- OTel-2.0-LLM-31B-IT~47 tok/s
- Qwen3 32B~47 tok/s
Frequently asked
Quick answers
Can the RTX 6000D run Muse Glimmer?
Yes. Muse Glimmer fits the RTX 6000D's 84 GB at Q4_K_M (about 11.8 GB needed), running at an estimated 90 tok/s. There's room for up to FP16 if you want higher quality.
How much VRAM does Muse Glimmer need?
About 10 GB of weights at Q4_K_M, 19 GB at Q8_0 and 36 GB at FP16. Add roughly 1.8 GB for the KV cache and runtime at modest context lengths.
How fast is Muse Glimmer on the RTX 6000D?
Roughly 90 tokens per second at Q4_K_M (single user, llama.cpp-style decode). This is an estimate from the RTX 6000D's 1570 GB/s memory bandwidth.