Llama on AMD RDNA3

Can I run Llama 4 Scout 109B-A17B on an Radeon RX 7900 XTX?

Not at Q4_K_M — it needs 64.0 GB against 21.8 GB available. You would need 3 of these cards.

Won't fit

64.0 GB of 21.8 GB · 294%
067 GB
Weights 61.7 GB
KV cache 1.5 GB
Runtime overhead 0.8 GB
Over the limit 42.3 GB

Short by 42.3 GB. You can run it with 15 of 48 layers on the Radeon RX 7900 XTX and the rest in system RAM, at roughly 4.91 tok/s — usable for batch work, painful for chat. A smaller quantisation or a shorter context is usually the better trade.

Generation4.91tok/s
Prompt processing1519tok/s
Max context0tokens
KV per 1K tokens0GB

Every quantisation of Llama 4 Scout 109B-A17B on a Radeon RX 7900 XTX

Highlighted row is the highest quality that still fits at 8K context.

QuantisationbpwWeights TotalVerdictMax ctxtok/s
FP16 / BF16 16.00 203.0 GB 205.4 GB Won't fit 1.21
INT8 / W8A8 8.50 107.4 GB 109.7 GB Won't fit 2.45
Q8_0 (GGUF) 8.50 107.4 GB 109.7 GB Won't fit 2.45
FP8 (E4M3) 8.00 101.5 GB 103.9 GB Won't fit 2.64
Q6_K 6.56 83.2 GB 85.6 GB Won't fit 3.35
Q5_K_M 5.67 71.9 GB 74.3 GB Won't fit 3.94
Q5_K_S 5.52 70.0 GB 72.4 GB Won't fit 4.14
Q4_K_M 4.85 61.7 GB 64.0 GB Won't fit 4.91
Q4_K_S 4.58 58.3 GB 60.7 GB Won't fit 5.17
Q4_0 4.55 58.0 GB 60.3 GB Won't fit 5.34
AWQ 4-bit 4.25 56.8 GB 59.1 GB Won't fit 5.45
GPTQ 4-bit 4.25 56.8 GB 59.1 GB Won't fit 5.45
MXFP4 4.25 56.8 GB 59.1 GB Won't fit 5.45
IQ4_XS 4.25 54.2 GB 56.6 GB Won't fit 5.84
Q3_K_M 3.91 50.0 GB 52.3 GB Won't fit 6.48
IQ3_M 3.70 47.4 GB 49.7 GB Won't fit 7.00
IQ3_XXS 3.06 39.4 GB 41.8 GB Won't fit 9.39
Q2_K 2.63 34.1 GB 36.4 GB Won't fit 12.4
IQ2_XXS 2.06 27.0 GB 29.3 GB Won't fit 20.9
IQ1_M 1.75 23.1 GB 25.4 GB Won't fit 35.4

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