CanRun

Nanbeige4.3 33B hardware requirements

About the model

Parameters
33.12B
Attention
Full attention
Max context
524,288 tokens
Released
2026-10-24

GGUF files

Tracked quantizations of Nanbeige4.3 33B, smallest first
QuantFile sizeQualityPublished by
Q2_K13.53 GBHeavy lossCommunity GGUF · bartowski
IQ4_XS18.64 GBGood balanceCommunity GGUF · bartowski
Q4_K_Mbaseline20.79 GBGood balanceCommunity GGUF · bartowski
Q8_035.20 GBNear-losslessCommunity GGUF · bartowski

Memory needed by quant and context

Graphics card memory in GB: weights loaded on the GPU + f16 KV cache + compute buffer. Add about 0.6 GB if the GPU also drives your display on Windows. Part of the file stays off the graphics card: llama.cpp keeps the input embedding table in system RAM. A Mac counts the whole file, so it needs a little more.
Quant4k8k16k32k64k128k256k
Q2_K13.714.616.420.027.341.971.0
IQ4_XS19.420.322.125.833.147.676.7
Q4_K_M21.522.424.227.935.249.778.8
Q8_035.336.238.141.749.063.592.7

Which GPUs can run Nanbeige4.3 33B?

How to read the verdicts

Runs great
Fully on the GPU at 20 tok/s or more
Runs well
Fully on the GPU at 8–20 tok/s; MoE experts in system RAM at 20 tok/s or more; or at least 90% on the GPU at 8 tok/s or more
Runs slowly
2–8 tok/s; CPU-only; less than 90% on the GPU; or MoE experts in system RAM below 20 tok/s
Won't run
Does not fit, or under 2 tok/s

Dense models split between GPU and CPU slow down sharply — the CPU side sets the pace. MoE models that keep only their experts in system RAM degrade far more gently.

Filter this list by budget, type and context in the calculator

Scroll sideways to see every column.

58 GPUs, Macs and CPU setups at Q4_K_M with 8k context, sorted by verdict and speed
HardwareVerdictSpeedQuantMemoryRuns asContextNotesPrice
GeForce RTX 5090
Runs great
est. 55.7 tok/s49.0–62.3calibrated estimate ±12%
Q4_K_M23.0 / 32.0 GBFull GPUup to 32k—$4,200 street (as of 2026-08-09)
NVIDIA RTX PRO 6000 Blackwell
Runs great
est. 55.7 tok/s49.0–62.3calibrated estimate ±12%
Q4_K_M23.0 / 96.0 GBFull GPUup to 64k——
NVIDIA RTX PRO 6000 Blackwell Max-Q
Runs great
est. 55.7 tok/s49.0–62.3calibrated estimate ±12%
Q4_K_M23.0 / 96.0 GBFull GPUup to 64k——
Radeon RX 7900 XTX
Runs great
est. 32.4 tok/s28.5–36.3calibrated estimate ±12%
Q4_K_M23.0 / 24.0 GBFull GPUup to 8k—$999 launch MSRP
GeForce RTX 3090 Ti
Runs great
est. 31.3 tok/s27.6–35.1calibrated estimate ±12%
Q4_K_M23.0 / 24.0 GBFull GPUup to 8k—$1,999 launch MSRP
GeForce RTX 4090
Runs great
est. 31.3 tok/s27.6–35.1calibrated estimate ±12%
Q4_K_M23.0 / 24.0 GBFull GPUup to 8k—$2,755 street (as of 2026-08-09)
Apple M5 Ultra · 96 GB
Runs great
est. 31.1 tok/s24.8–37.3calibrated estimate ±20%
Q4_K_M23.1 / 67.2 GBUnified memoryup to 8k——
GeForce RTX 3090
Runs well
est. 29.1 tok/s25.6–32.6calibrated estimate ±12%
Q4_K_M23.0 / 24.0 GBFull GPUup to 8k
  • Try IQ4_XS: Runs great
$1,050 street (as of 2026-08-09)
GeForce RTX 5090 Laptop
Runs well
est. 27.8 tok/s24.5–31.2calibrated estimate ±12%
Q4_K_M23.0 / 24.0 GBFull GPUup to 8k
  • Try IQ4_XS: Runs great
—
Apple M3 Ultra · 96 GB
Runs well
est. 20.7 tok/s16.6–24.9calibrated estimate ±20%
Q4_K_M23.1 / 67.2 GBUnified memoryup to 64k
  • Q2_K (heavy quality loss): Runs great
—
Apple M5 Max (40-core GPU) · 48 GB
Runs well
est. 20.7 tok/s16.6–24.8calibrated estimate ±20%
Q4_K_M23.1 / 33.6 GBUnified memoryup to 32k
  • Q2_K (heavy quality loss): Runs great
—
Apple M2 Ultra · 64 GB
Runs well
est. 20.2 tok/s16.2–24.3calibrated estimate ±20%
Q4_K_M23.1 / 44.8 GBUnified memoryup to 64k——
Apple M4 Max (40-core GPU) · 48 GB
Runs well
est. 18.4 tok/s14.7–22.1calibrated estimate ±20%
Q4_K_M23.1 / 33.6 GBUnified memoryup to 32k——
Apple M5 Max (32-core GPU) · 36 GB
Runs well
est. 15.5 tok/s12.4–18.6calibrated estimate ±20%
Q4_K_M23.1 / 25.2 GBUnified memoryup to 16k——
Apple M4 Max (32-core GPU) · 36 GB
Runs well
est. 13.8 tok/s11.1–16.6calibrated estimate ±20%
Q4_K_M23.1 / 25.2 GBUnified memoryup to 16k——
Apple M5 Pro · 48 GB
Runs slowly
est. 10.4 tok/s8.3–12.4calibrated estimate ±20%
Q4_K_M23.1 / 33.6 GBUnified memoryup to 32k
  • Q2_K (heavy quality loss): Runs well
—
NVIDIA DGX Spark · 128 GB
Runs slowly
est. 9.4 tok/s7.6–11.3calibrated estimate ±20%
Q4_K_M23.1 / 116.9 GBUnified memoryup to 128k
  • Q2_K (heavy quality loss): Runs well
$3,999 launch MSRP (128 GB)
Apple M4 Pro · 48 GB
Runs slowly
est. 9.2 tok/s7.4–11.0calibrated estimate ±20%
Q4_K_M23.1 / 33.6 GBUnified memoryup to 32k
  • Q2_K (heavy quality loss): Runs well
—
Radeon RX 7900 XT
Runs slowly
est. 8.3 tok/s6.7–10.0calibrated estimate ±20%
Q4_K_M20.0 / 20.0 GB + 3.7 GB RAMPartial offloadup to 32k
  • Try IQ4_XS: Runs well
  • Q2_K (heavy quality loss): Runs great
$899 launch MSRP
Ryzen AI Max+ 395 (Strix Halo) · 32 GB
Runs slowly
est. 5.7 tok/s4.0–7.4theoretical estimate ±30%
Q4_K_M22.5 GB RAMCPU onlyup to 32k
  • Q2_K (heavy quality loss): Runs well
$1,999 launch MSRP (128 GB)
GeForce RTX 5080
Runs slowly
est. 4.8 tok/s3.9–5.8calibrated estimate ±20%
Q4_K_M16.0 / 16.0 GB + 7.7 GB RAMPartial offloadup to 16k
  • Q2_K (heavy quality loss): Runs great
$1,256 street (as of 2026-08-09)
GeForce RTX 5070 Ti
Runs slowly
est. 4.8 tok/s3.8–5.7calibrated estimate ±20%
Q4_K_M16.0 / 16.0 GB + 7.7 GB RAMPartial offloadup to 16k
  • Q2_K (heavy quality loss): Runs great
$949 street (as of 2026-08-09)
GeForce RTX 5080 Laptop
Runs slowly
est. 4.8 tok/s3.8–5.7calibrated estimate ±20%
Q4_K_M16.0 / 16.0 GB + 7.7 GB RAMPartial offloadup to 16k
  • Q2_K (heavy quality loss): Runs great
—
GeForce RTX 4080 Super
Runs slowly
est. 4.7 tok/s3.7–5.6calibrated estimate ±20%
Q4_K_M16.0 / 16.0 GB + 7.7 GB RAMPartial offloadup to 16k
  • Q2_K (heavy quality loss): Runs great
$999 launch MSRP
GeForce RTX 4080
Runs slowly
est. 4.7 tok/s3.7–5.6calibrated estimate ±20%
Q4_K_M16.0 / 16.0 GB + 7.7 GB RAMPartial offloadup to 16k
  • Q2_K (heavy quality loss): Runs great
$1,199 launch MSRP
Radeon RX 9070
Runs slowly
est. 4.6 tok/s3.7–5.6calibrated estimate ±20%
Q4_K_M16.0 / 16.0 GB + 7.7 GB RAMPartial offloadup to 16k
  • Q2_K (heavy quality loss): Runs great
$639 street (as of 2026-08-09)
Radeon RX 9070 XT
Runs slowly
est. 4.6 tok/s3.7–5.6calibrated estimate ±20%
Q4_K_M16.0 / 16.0 GB + 7.7 GB RAMPartial offloadup to 16k
  • Q2_K (heavy quality loss): Runs great
$689 street (as of 2026-08-09)
Radeon RX 7800 XT
Runs slowly
est. 4.6 tok/s3.7–5.5calibrated estimate ±20%
Q4_K_M16.0 / 16.0 GB + 7.7 GB RAMPartial offloadup to 16k
  • Q2_K (heavy quality loss): Runs great
$499 launch MSRP
GeForce RTX 4070 Ti Super
Runs slowly
est. 4.6 tok/s3.7–5.5calibrated estimate ±20%
Q4_K_M16.0 / 16.0 GB + 7.7 GB RAMPartial offloadup to 16k
  • Q2_K (heavy quality loss): Runs great
$799 launch MSRP
GeForce RTX 4090 Laptop
Runs slowly
est. 4.5 tok/s3.6–5.4calibrated estimate ±20%
Q4_K_M16.0 / 16.0 GB + 7.7 GB RAMPartial offloadup to 16k
  • Q2_K (heavy quality loss): Runs well
—
GeForce RTX 5060 Ti 16GB
Runs slowly
est. 4.3 tok/s3.5–5.2calibrated estimate ±20%
Q4_K_M16.0 / 16.0 GB + 7.7 GB RAMPartial offloadup to 16k
  • Q2_K (heavy quality loss): Runs well
$569 street (as of 2026-08-09)
Radeon RX 9060 XT 16GB
Runs slowly
est. 4.1 tok/s3.3–4.9calibrated estimate ±20%
Q4_K_M16.0 / 16.0 GB + 7.7 GB RAMPartial offloadup to 16k
  • Q2_K (heavy quality loss): Runs well
$449 street (as of 2026-08-09)
GeForce RTX 4060 Ti 16GB
Runs slowly
est. 3.9 tok/s3.1–4.7calibrated estimate ±20%
Q4_K_M16.0 / 16.0 GB + 7.7 GB RAMPartial offloadup to 16k
  • Q2_K (heavy quality loss): Runs well
$499 launch MSRP
Apple M6 · 32 GB
Runs slowly
est. 3.8 tok/s2.6–4.9theoretical estimate ±30%
Q4_K_M22.5 GB RAMCPU onlyup to 32k——
Apple M5 · 32 GB
Runs slowly
est. 3.4 tok/s2.4–4.4theoretical estimate ±30%
Q4_K_M22.5 GB RAMCPU onlyup to 16k——
GeForce RTX 3080 12GB
Runs slowly
est. 3.3 tok/s2.7–4.0calibrated estimate ±20%
Q4_K_M12.0 / 12.0 GB + 11.7 GB RAMPartial offloadup to 8k—$799 launch MSRP
GeForce RTX 5070
Runs slowly
est. 3.3 tok/s2.6–3.9calibrated estimate ±20%
Q4_K_M12.0 / 12.0 GB + 11.7 GB RAMPartial offloadup to 8k—$629 street (as of 2026-08-09)
GeForce RTX 5070 Ti Laptop
Runs slowly
est. 3.3 tok/s2.6–3.9calibrated estimate ±20%
Q4_K_M12.0 / 12.0 GB + 11.7 GB RAMPartial offloadup to 8k——
GeForce RTX 4070
Runs slowly
est. 3.2 tok/s2.6–3.9calibrated estimate ±20%
Q4_K_M12.0 / 12.0 GB + 11.7 GB RAMPartial offloadup to 8k—$599 launch MSRP
GeForce RTX 4070 Super
Runs slowly
est. 3.2 tok/s2.6–3.9calibrated estimate ±20%
Q4_K_M12.0 / 12.0 GB + 11.7 GB RAMPartial offloadup to 8k—$599 launch MSRP
GeForce RTX 4080 Laptop
Runs slowly
est. 3.2 tok/s2.5–3.8calibrated estimate ±20%
Q4_K_M12.0 / 12.0 GB + 11.7 GB RAMPartial offloadup to 8k——
Intel Arc B580
Runs slowly
est. 3.1 tok/s2.5–3.8calibrated estimate ±20%
Q4_K_M12.0 / 12.0 GB + 11.7 GB RAMPartial offloadup to 8k—$290 street (as of 2026-08-09)
GeForce RTX 3060 12GB
Runs slowly
est. 3.1 tok/s2.5–3.7calibrated estimate ±20%
Q4_K_M12.0 / 12.0 GB + 11.7 GB RAMPartial offloadup to 8k—$250 street (as of 2026-08-09)
GeForce RTX 2080 Ti
Runs slowly
est. 3.1 tok/s2.4–3.7calibrated estimate ±20%
Q4_K_M11.0 / 11.0 GB + 12.7 GB RAMPartial offloadup to 8k—$999 launch MSRP
Apple M4 · 32 GB
Won't runTry IQ4_XS: Runs slowly
est. 4.5 tok/s3.6–5.4calibrated estimate ±20%
IQ4_XS21.0 / 22.4 GBUnified memoryup to 8k——
GeForce RTX 3070
Won't runTry Q2_K (heavy quality loss): Runs slowly
est. 4.3 tok/s3.5–5.2calibrated estimate ±20%
Q2_K8.0 / 8.0 GB + 8.4 GB RAMPartial offloadup to 16k—$499 launch MSRP
GeForce RTX 5060
Won't runTry Q2_K (heavy quality loss): Runs slowly
est. 4.3 tok/s3.5–5.2calibrated estimate ±20%
Q2_K8.0 / 8.0 GB + 8.4 GB RAMPartial offloadup to 16k—$339 street (as of 2026-08-09)
GeForce RTX 5060 Ti 8GB
Won't runTry Q2_K (heavy quality loss): Runs slowly
est. 4.3 tok/s3.5–5.2calibrated estimate ±20%
Q2_K8.0 / 8.0 GB + 8.4 GB RAMPartial offloadup to 16k—$429 street (as of 2026-08-09)
GeForce RTX 4060 Ti 8GB
Won't runTry Q2_K (heavy quality loss): Runs slowly
est. 4.1 tok/s3.3–5.0calibrated estimate ±20%
Q2_K8.0 / 8.0 GB + 8.4 GB RAMPartial offloadup to 16k—$399 launch MSRP
GeForce RTX 4060
Won't runTry Q2_K (heavy quality loss): Runs slowly
est. 4.1 tok/s3.3–4.9calibrated estimate ±20%
Q2_K8.0 / 8.0 GB + 8.4 GB RAMPartial offloadup to 16k—$299 launch MSRP
GeForce RTX 4060 Laptop
Won't runTry Q2_K (heavy quality loss): Runs slowly
est. 4.1 tok/s3.3–4.9calibrated estimate ±20%
Q2_K8.0 / 8.0 GB + 8.4 GB RAMPartial offloadup to 16k——
GeForce RTX 4070 Laptop
Won't runTry Q2_K (heavy quality loss): Runs slowly
est. 4.1 tok/s3.3–4.9calibrated estimate ±20%
Q2_K8.0 / 8.0 GB + 8.4 GB RAMPartial offloadup to 16k——
GeForce RTX 3050 8GB
Won't runTry Q2_K (heavy quality loss): Runs slowly
est. 4.0 tok/s3.2–4.8calibrated estimate ±20%
Q2_K8.0 / 8.0 GB + 8.4 GB RAMPartial offloadup to 16k—$249 launch MSRP
GeForce GTX 1080 Ti
Won't runTry IQ4_XS: Runs slowly
est. 3.5 tok/s2.5–4.6theoretical estimate ±30%
IQ4_XS11.0 / 11.0 GB + 10.6 GB RAMPartial offloadup to 8k—$699 launch MSRP
GeForce RTX 3080 10GB
Won't runTry IQ4_XS: Runs slowly
est. 3.4 tok/s2.7–4.0calibrated estimate ±20%
IQ4_XS10.0 / 10.0 GB + 11.6 GB RAMPartial offloadup to 8k—$699 launch MSRP
DDR5-6000 dual-channel CPU · 96 GB
Won't runTry Q2_K (heavy quality loss): Runs slowly
est. 3.1 tok/s2.5–3.8calibrated estimate ±20%
Q2_K15.3 GB RAMCPU onlyup to 8k——
DDR5-5600 dual-channel CPU · 96 GB
Won't run
est. 2.0 tok/s1.6–2.4calibrated estimate ±20%
Q4_K_M22.5 GB RAMCPU only—
  • Fits, but too slow to use
—
DDR4-3200 dual-channel CPU · 64 GB
Won't run
est. 1.1 tok/s0.9–1.4calibrated estimate ±20%
Q4_K_M22.5 GB RAMCPU only—
  • Fits, but too slow to use
—

Models with a thinking mode spend extra tokens thinking, so their speed thresholds are 1.5× stricter (30 / 12 / 3 tok/s). With thinking turned off, a model may do one grade better.

Cheapest GPUs that run it

  • Runs greatGeForce RTX 4090$2,755 street (as of 2026-08-09), est. 31.3 tok/s (27.6–35.1, calibrated estimate ±12%).
  • Runs wellGeForce RTX 3090$1,050 street (as of 2026-08-09), est. 29.1 tok/s (25.6–32.6, calibrated estimate ±12%).

Measured results for Nanbeige4.3 33B

No public measurements for this model yet.

Frequently asked questions

How much VRAM does Nanbeige4.3 33B need?

At Q4_K_M the file is 20.79 GB; with 8k context a graphics card needs about 22.4 GB (weights 20.11 GB, KV cache 1.7 GB, compute buffer 0.6 GB). The smallest tracked file (Q2_K (heavy quality loss)) needs about 14.6 GB. Part of the file stays off the graphics card: llama.cpp keeps the input embedding table in system RAM. A Mac counts the whole file, so it needs a little more.

What is the cheapest GPU that runs Nanbeige4.3 33B well?

Cheapest that runs it great: GeForce RTX 4090 at $2,755 (street price as of 2026-08-09), est. 31.3 tok/s (27.6–35.1, calibrated estimate ±12%). Cheaper and still Runs well: GeForce RTX 3090 at $1,050 (street price as of 2026-08-09), est. 29.1 tok/s (25.6–32.6, calibrated estimate ±12%).

Can Nanbeige4.3 33B run on an 8 GB, 16 GB or 24 GB GPU?

At Q4_K_M with 8k context: GeForce RTX 4060 — Won't run, est. 2.4 tok/s (2.0–2.9, calibrated estimate ±20%); GeForce RTX 5060 Ti 16GB — Runs slowly, est. 4.3 tok/s (3.5–5.2, calibrated estimate ±20%); GeForce RTX 3090 — Runs well, est. 29.1 tok/s (25.6–32.6, calibrated estimate ±12%).

Speeds are estimates from memory bandwidth, calibrated against public benchmarks, and each one comes with an error band and a confidence label. Real results vary with drivers, backend, context length and thermals.