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llm-speed

Can an RTX 4090 run R1-0528-Qwen3-8B?

Yes: an RTX 4090 runs R1-0528-Qwen3 8B at 155.0 tok/s at Q4_K_M, measured on llama.cpp with a 105-token prompt in October 2026.

1 signed run on llm-speed. Single-request decode speed in tokens per second; the short-chat workload unless noted. This run was measured by llm-speed (@llmspeed). Runs measured by llm-speed are credited to @llmspeed.

Measured tok/s by quant and runtime

QuantRuntimeBuildDecode tok/s (best run)WorkloadRunsSource
Q4_K_Mllama.cppcommit a37cc4610155.0chat-short1Measured by llm-speed@llmspeed

Fastest quant that fits: Q4_K_M on llama.cpp, 155.0 tok/s (measured by llm-speed; it fits because it ran on this hardware). Quants without a run are not listed.

Every measured row

RunDate (UTC)WorkloadQuantRuntime / buildPrompt tokensOutput tokensDecode tok/sPrefill tok/sTTFT msVRAM GiBSource
r_ll6l5npoik82026-10-22chat-shortQ4_K_Mllama.cpp · commit a37cc4610105256155.02106.750–Measured by llm-speed@llmspeed

Questions

Can an RTX 4090 run R1-0528-Qwen3-8B?

Yes: an RTX 4090 runs R1-0528-Qwen3 8B at 155.0 tok/s at Q4_K_M, measured on llama.cpp with a 105-token prompt in October 2026.

How many tokens per second does R1-0528-Qwen3-8B get on an RTX 4090?

Decode speed measured by llm-speed, by quantization and runtime: Q4_K_M on llama.cpp: 155.0 tok/s. Based on 1 run measured by llm-speed; single-request chat-short unless noted.

What is the fastest quant of R1-0528-Qwen3-8B that fits on an RTX 4090?

Q4_K_M on llama.cpp was the fastest measured setting at 155.0 tok/s; it fit because it ran. Other quants are listed only where a run measured them.

How much VRAM does R1-0528-Qwen3-8B use on an RTX 4090?

Memory use was not recorded for these runs. The VRAM calculator gives an estimate, not a measurement.

Sources and related pages