Can the RTX 3090 run Qwen3.8-27B-OBLITERATED?
Yes. Qwen3.8-27B-OBLITERATED fits the RTX 3090's 24 GB at Q4_K_M (about 17.8 GB needed), running at an estimated 34 tok/s. There's room for up to Q5_K_M if you want higher quality.
Every quantization
Qwen3.8-27B-OBLITERATED (27.8B) on 24 GB
| Quant | Weights | Needs | Fit | Est. speed |
|---|---|---|---|---|
| Q4_K_M | 16 GB | 17.8 GB | Fits | ~34 tok/s |
| Q5_K_M | 20 GB | 21.8 GB | Tight | ~27 tok/s |
| Q8_0 | 30 GB | 31.8 GB | Too big | - |
| FP16 | 56 GB | 57.8 GB | Too big | - |
Estimates. Needs = weights + 1.8 GB for KV cache and runtime at modest context. Speed is single-stream decode scaled from the RTX 3090's 936 GB/s bandwidth (XiongjieDai/GPU-Benchmarks-on-LLM-Inference). Long contexts need more memory and run slower.
Run it
Copy, paste, go
llama-server -hf mradermacher/Qwen3.8-27B-OBLITERATED-GGUF -ngl 99Ollama pulls a Q4 build by default. Pick a larger quant only if the table above says it fits. Full Qwen3.8-27B-OBLITERATED details →
Compare
Same model, other hardware - and other models on this card
Qwen3.8-27B-OBLITERATED on other hardware
- RTX 5090~64 tok/s
- RTX 5090 D~64 tok/s
- RTX 6000D~56 tok/s
- RTX 4090~39 tok/s
- Radeon RX 7900 XTX~34 tok/s
- MacBook Pro 16" M4 Max~20 tok/s
- Arc Pro B60~16 tok/s
- DGX Spark (GB10)~9.8 tok/s
Also runs on the RTX 3090
- OTel-2.0-LLM-31B-IT-QLoRA~30 tok/s
- Qwen3.6 27B~34 tok/s
- Qwen3.8 27B~34 tok/s
- Gemma 4 26B A4B~161 tok/s
- gpt-oss-20b~182 tok/s
- Muse Glimmer~55 tok/s
- Nemotron 3.5 Lightning~55 tok/s
- Qwen3 14B~68 tok/s
Frequently asked
Quick answers
Can the NVIDIA RTX 3090 run Qwen3.8-27B-OBLITERATED?
Yes. Qwen3.8-27B-OBLITERATED fits the RTX 3090's 24 GB at Q4_K_M (about 17.8 GB needed), running at an estimated 34 tok/s. There's room for up to Q5_K_M if you want higher quality.
How much VRAM does Qwen3.8-27B-OBLITERATED need?
About 16 GB of weights at Q4_K_M, 30 GB at Q8_0 and 56 GB at FP16. Add roughly 1.8 GB for the KV cache and runtime at modest context lengths.
How fast is Qwen3.8-27B-OBLITERATED on the RTX 3090?
Roughly 34 tokens per second at Q4_K_M (single user, llama.cpp-style decode). This is an estimate from the RTX 3090's 936 GB/s memory bandwidth.