llmrun

AMD · RDNA 3 · 8 GB VRAM tier

Best AI Models for AMD Radeon RX 7600M XT (8 GB)

Runs 7–9B models well; 14B doesn't fit in 8 GB.

8 GB GDDR6288 GB/s43 TFLOPS FP16120 WRDNA 3 2023

8 GB at 288 GB/s: ~7-8B Q4 models, no more. Not on AMD's official ROCm list; the Vulkan backend (llama.cpp, LM Studio) is the easy path.

What LLMs can the RX 7600M XT run?

#ModelSpeedllmrun ScoreQuant · VRAM
1
Q4_K_M · 6.6 GB · 27.2 t/s
27.2 tok/sQ4_K_M · 6.6 GB
2
Qwen3.5 4BAlibaba
Q4_K_M · 3.4 GB · 53.0 t/s
53.0 tok/sQ4_K_M · 3.4 GB
3
Q4_K_M · 7.3 GB · 28.3 t/s
28.3 tok/sQ4_K_M · 7.3 GB
4
Q4_K_M · 5.0 GB · 60.8 t/s
60.8 tok/sQ4_K_M · 5.0 GB
5
Ling 3.0 TinyInclusion AI
Q4_K_M · 5.5 GB · 97.9 t/s
97.9 tok/sQ4_K_M · 5.5 GB
See all 218 models on the RX 7600M XT →Best quant that fits · speeds estimated on this card

About the RX 7600M XT

The RX 7600M XT runs 7–9B models well. RDNA 3 generation, released 2023.

GenerationRDNA 3released 2023

RX 7600M XT strengths and weaknesses

Strengths

  • Runs 7–9B models: Qwen3.5 9B at 27.2 tok/s in 6.6 GB
  • Low power draw: 120 W board power; a 250 W PSU is enough

Weaknesses

  • 14B models don't fit: Qwen3 14B needs 11.9 GB at Q4 vs 8 GB here
  • Little room for context: Qwen3.5 9B uses 6.6 of 8 GB, 1.4 GB left
  • Slow prompt reading: A 4K-token prompt on Qwen3.5 9B waits 8.4 s for the first token
  • ROCm, not CUDA: No FP8 weights; MXFP4 only through llama.cpp, not vLLM

Similar GPUs

Cards people weigh against the RX 7600M XT, each with the one reason it is worth a look. Speeds on Qwen3.5 9B.

RX 7600M XT tokens per second by model size

Output speed depends on memory bandwidth (288 GB/s). Grey rows need more than 8 GB.

  1. 9BQwen3.5 9B · Q4_K_M · 6.6 GB
    27.2tok/s
  2. 14BQwen3 14B · not at 4-bit
    needs 11.9 GB
  3. 27–31BQwen3.8 27B · not at 4-bit
    needs 17.9 GB
  4. 35B MoEQwen3.6 35B A3B · not at 4-bit
    needs 22.0 GB
  5. 70BLlama 3.3 70B Instruct · not at 4-bit
    needs 51.3 GB
  6. 120B MoEGPT OSS 120B · not at 4-bit
    needs 70.8 GB

Estimated speeds: Q4_K_M, 4K context, one user. How we estimate

All 842 models on the RX 7600M XT

Featured only

Best quant that fits, ordered by llmrun Score. Fit grades how well it runs here, S best. How ranking works

LLM models compatible with AMD Radeon RX 7600M XT — ranked by Score, recency and Fit
ModelVRAMScoreFit
Q4_K_M·250.4 t/s
0.9 GBS100, Runs great
Q4_K_M·65.5 t/s
4.8 GBS85, Runs great
TwIL LM3
Q4_K_M·75.1 t/s
3.4 GBS86, Runs great
Q4_K_M·392.7 t/s
0.5 GBS100, Runs great
HARP 1B
Q4_K_M·443.1 t/s
0.4 GBS100, Runs great
Q4_K_M·146.4 t/s
1.5 GBS97, Runs great
Q4_K_M·135.0 t/s
1.7 GBS96, Runs great
BF16·401.9 t/s
0.4 GBS100, Runs great
Tiny Lfm2ForCausalLM 2.5
Q4_K_M·576.0 t/s
0.5 GBS100, Runs great
Q4_K_M·576.0 t/s
0.3 GBS100, Runs great
Q4_K_M·17280.0 t/s
0.3 GBS100, Runs great
Tiny Lfm2ForCausalLM
Q4_K_M·576.0 t/s
0.5 GBS100, Runs great
Q4_K_M·720.0 t/s
1.3 GBS100, Runs great
Qwen3.5 0.8B
Q4_K_M·198.6 t/s
0.9 GBS100, Runs great
Q4_K_M·115.2 t/s
1.9 GBS94, Runs great

RX 7600M XT specs, power and PSU

Specs

Architecture
RDNA 3
VRAM
8 GB GDDR6
Memory bandwidth
288.0 GB/s
FP16 (dense)
42.84 TFLOPS
Stream processors
2,048
TDP
120 W
Released
2023-01-04

RX 7600M XT FAQ

What is the largest model the RX 7600M XT can run?

Qwen3.5 9B (9.7B) is the largest at 4-bit or better: at Q4_K_M it uses 6.6 GB of 8 GB, and runs at about 27.2 tok/s.

Can the RX 7600M XT run 14B models?

No. Qwen3 14B needs 11.9 GB at Q4, more than the 8 GB on this card.

How many tokens per second does the RX 7600M XT give?

About 27.2 tok/s on Qwen3.5 9B at Q4_K_M, with the first token after 8.4 s on a 4K-token prompt.

What power supply does the RX 7600M XT need?

Plan a 250 W PSU (2× the 120 W TDP).

Is renting cheaper than buying an RX 7600M XT?

An RTX 3090 (24 GB) rents from $0.14/hr. With regular daily use, owning pays off.