AMD · CDNA3

What runs on a Instinct MI300X

192 GB at 5300 GB/s. The largest model that fits at Q4_K_M is Qwen3 235B-A22B, at roughly 79.4 tokens per second.

Runs comfortably

6.4 GB of 179.7 GB · 4%
0180 GB
Weights 4.6 GB
KV cache 1.0 GB
Runtime overhead 0.8 GB

Llama 3.1 8B at Q4_K_M leaves 173.2 GB spare on a Instinct MI300X. There is room to raise the context length or move up a quantisation level.

Generation581tok/s
Prompt processing33998tok/s
Max context128Ktokens
KV per 1K tokens0GB

Every quantisation of Llama 3.1 8B on a Instinct MI300X

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

QuantisationbpwWeights TotalVerdictMax ctxtok/s
FP16 / BF16 16.00 15.0 GB 16.8 GB Runs comfortably 128K 208
INT8 / W8A8 8.50 7.7 GB 9.5 GB Runs comfortably 128K 377
Q8_0 (GGUF) 8.50 7.7 GB 9.5 GB Runs comfortably 128K 377
FP8 (E4M3) 8.00 7.5 GB 9.3 GB Runs comfortably 128K 388
Q6_K 6.56 6.1 GB 8.0 GB Runs comfortably 128K 459
AWQ 4-bit 4.25 5.4 GB 7.2 GB Runs comfortably 128K 510
GPTQ 4-bit 4.25 5.4 GB 7.2 GB Runs comfortably 128K 510
MXFP4 4.25 5.4 GB 7.2 GB Runs comfortably 128K 510
Q5_K_M 5.67 5.3 GB 7.1 GB Runs comfortably 128K 519
Q5_K_S 5.52 5.2 GB 7.0 GB Runs comfortably 128K 530
Q4_K_M 4.85 4.6 GB 6.4 GB Runs comfortably 128K 581
Q4_K_S 4.58 4.4 GB 6.2 GB Runs comfortably 128K 604
Q4_0 4.55 4.4 GB 6.2 GB Runs comfortably 128K 606
IQ4_XS 4.25 4.1 GB 5.9 GB Runs comfortably 128K 634
Q3_K_M 3.91 3.8 GB 5.7 GB Runs comfortably 128K 669
IQ3_M 3.70 3.7 GB 5.5 GB Runs comfortably 128K 693
IQ3_XXS 3.06 3.2 GB 5.0 GB Runs comfortably 128K 777
Q2_K 2.63 2.8 GB 4.6 GB Runs comfortably 128K 846
IQ2_XXS 2.06 2.3 GB 4.2 GB Runs comfortably 128K 958
IQ1_M 1.75 2.1 GB 3.9 GB Runs comfortably 128K 1032

Models on a Instinct MI300X

Q4_K_M at 8K context. Bandwidth sets the speed; capacity sets the ceiling.

ModelParamsWeightsVerdictMax ctxtok/s
DeepSeek-R1 671B-A37B 671B 379.0 GB Won't fit 3.41
Qwen3 235B-A22B 235.1B 132.8 GB Runs comfortably 128K 79.4
gpt-oss 120B-A5.1B 116.8B 66.0 GB Runs comfortably 128K 380
Llama 4 Scout 109B-A17B 109B 61.7 GB Runs comfortably 625K 243
Qwen2.5 72B 72.7B 41.2 GB Runs comfortably 128K 75.8
Llama 3.1 70B 70.5B 40.0 GB Runs comfortably 128K 78.0
Mixtral 8x7B 46.7B 26.4 GB Runs comfortably 32K 295
Command R 35B 35.0B 20.1 GB Runs comfortably 127K 129
Yi-1.5 34B 34.4B 19.5 GB Runs comfortably 32K 154
Qwen3 32B 32.8B 18.6 GB Runs comfortably 128K 160
Qwen2.5-Coder 32B 32.8B 18.6 GB Runs comfortably 128K 160
DeepSeek-R1-Distill-Qwen 32B 32.8B 18.6 GB Runs comfortably 128K 160
Qwen3 30B-A3B 30.5B 17.3 GB Runs comfortably 128K 205
Gemma 3 27B 27.4B 15.6 GB Runs comfortably 128K 190
Mistral Small 24B 23.6B 13.4 GB Runs comfortably 32K 225
gpt-oss 20B-A3.6B 20.9B 11.9 GB Runs comfortably 128K 556
Qwen3 14B 14.8B 8.5 GB Runs comfortably 128K 338
Phi-4 14B 14.7B 8.4 GB Runs comfortably 16K 335
Mistral NeMo 12B 12.3B 7.0 GB Runs comfortably 128K 396
Gemma 3 12B 12.2B 7.0 GB Runs comfortably 128K 394
GLM-4 9B 9.4B 5.4 GB Runs comfortably 128K 525
Qwen3 8B 8.2B 4.7 GB Runs comfortably 128K 557
Llama 3.1 8B 8.0B 4.6 GB Runs comfortably 128K 581
DeepSeek-R1-Distill-Llama 8B 8.0B 4.6 GB Runs comfortably 128K 581
Qwen2.5 7B 7.6B 4.4 GB Runs comfortably 128K 647
Mistral 7B v0.3 7.3B 4.1 GB Runs comfortably 32K 636
Gemma 3 4B 4.3B 2.5 GB Runs comfortably 128K 993
Qwen3 4B 4.0B 2.3 GB Runs comfortably 128K 932
Llama 3.2 3B 3.2B 1.8 GB Runs comfortably 128K 1176
Llama 3.2 1B 1.2B 0.7 GB Runs comfortably 128K 2866

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