Can I Run Qwen 3.8 27B Instruct on AMD Radeon RX 7900 XTX (24GB GDDR6)?
Full VRAM footprint analysis, tokens/sec generation benchmark, and copy-paste Ollama & vLLM runtime commands for running Qwen 3.8 27B Instruct (27.2B) on AMD Radeon RX 7900 XTX (24GB GDDR6) (24 GB).
⚡ Tight Fit — Runs 100% on GPU (Low Headroom)
OLLAMA_FLASH_ATTENTION=1 OLLAMA_KV_CACHE_TYPE=q8_0 ollama run qwen3.8:27bLocal Hardware Configurations & Pricing
⚡ Tight Fit: Consider 32GB+ for Safe HeadroomNVIDIA GeForce RTX 5090 (32GB GDDR7)
Maximum tokens/sec on 27B–35B models & Blackwell FP4 quantization
NVIDIA GeForce RTX 4090 (24GB GDDR6X)
The 24GB CUDA enthusiast standard for 14B–32B Q4_K_M models
2x NVIDIA RTX 3090 Dual Rig (48GB Total VRAM)
Best price-to-VRAM homelab rig for 70B Q4_K_M & Qwen 3.8 27B Q8
AMD Radeon RX 7900 XTX (24GB GDDR6)
Cheapest 24GB brand-new GPU for ROCm / Ollama on Linux
Cloud Instance Options for Qwen 3.8 27B Instruct
On-DemandDeploy this model on an on-demand cloud GPU without local hardware constraints or power usage:
Quantization Precision Matrix
32K ctx • KV: Q8_0| Quantization | Weights | KV Cache | Total VRAM | Est. Speed | Fit Status |
|---|---|---|---|---|---|
| FP1616 bpw | 54.4 GB | 4.29 GB | 61.34 GB (256%) | 0 t/s | OOM |
| Q8_08.5 bpw | 28.83 GB | 4.29 GB | 34.88 GB (145%) | 0 t/s | OOM |
| Q6_K6.56 bpw | 22.3 GB | 4.29 GB | 28.12 GB (117%) | ~5 t/s | PARTIAL |
| Q5_K_M5.68 bpw | 19.31 GB | 4.29 GB | 25.03 GB (104%) | ~6 t/s | PARTIAL |
| Q4_K_M4.8 bpw | 16.32 GB | 4.29 GB | 21.93 GB (91%) | ~32 t/s | FITS |
| FP44.25 bpw | 14.42 GB | 4.29 GB | 19.96 GB (83%) | ~36 t/s | FITS |
| IQ3_XS3.3 bpw | 11.15 GB | 4.29 GB | 16.58 GB (69%) | ~46 t/s | FITS |
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Frequently Asked Questions: Qwen 3.8 27B Instruct on AMD Radeon RX 7900 XTX (24GB GDDR6)
How much VRAM does Qwen 3.8 27B Instruct need on AMD Radeon RX 7900 XTX (24GB GDDR6)?
At standard 4-bit quantization (Q4_K_M) with 32K context, Qwen 3.8 27B Instruct requires 21.93 GB of total VRAM (weights + KV cache + CUDA runtime overhead).
What inference speed will Qwen 3.8 27B Instruct achieve on AMD Radeon RX 7900 XTX (24GB GDDR6)?
Based on AMD Radeon RX 7900 XTX (24GB GDDR6)'s 960 GB/s memory bandwidth, expected decode speed is approximately 32 tokens per second.
Can I expand context beyond 32K tokens?
Each additional 32K tokens of context requires additional KV cache memory. For longer context windows, consider 8-bit or 4-bit KV cache quantization.