Qwen3-30B-A3B on RTX 4060 Ti: Does not fit (Sep 2026)

Conditional memory judgement for one configuration. Change context, quant, or engine and the conclusion can change. Configuration used on this page: GGUF Q4_K_M, 8,192 cached tokens, 1 sequence, engine llama.cpp. Status: Insufficient memory. Software: Not verified..

Insufficient memoryNot verifiedThis result is an estimate, not a measured trace.

Verdict on GeForce RTX 4060 Ti 16GB (desktop)

No. The smallest published GGUF (Q4_K_M) needs 18.2 GiB–18.9 GiB against 15.0 GiB of usable VRAM (after the driver reserve). It would only run by spilling layers to system RAM, which this site does not model.

Published GGUF quants for Qwen3-30B-A3B on GeForce RTX 4060 Ti 16GB (desktop) at 8,192 tokens
GGUF quant	File weights	KV cache	Estimated total	Verdict
Q8_0	30.3 GiB	0.8 GiB	31.1 GiB–32.2 GiB	Does not fit
Q6_K	23.4 GiB	0.8 GiB	24.2 GiB–25.1 GiB	Does not fit
Q5_K_M	20.2 GiB	0.8 GiB	21.1 GiB–21.9 GiB	Does not fit
Q4_K_M	17.3 GiB	0.8 GiB	18.2 GiB–18.9 GiB	Does not fit

Engine llama.cpp, one sequence, fp16 KV. File weights are the published GGUF sizes in the catalog. Totals come from the same calculator that powers the tool below; they are estimates, not a measurement of this setup.

Fixed page configuration

No published GGUF fits: even GGUF Q4_K_M needs 18.2 GiB-18.9 GiB against 15.00 GiB net.

ModelQwen3-30B-A3B
HardwareGeForce RTX 4060 Ti 16GB (desktop)
QuantizationGGUF Q4_K_M
Context length (cached tokens)8,192
Enginellama.cpp
Concurrent sequences1
KV cache typefp16

Technical identifiers and share data

Modelqwen3-30b-a3b
Hardwarenvidia-geforce-rtx-4060-ti-16gb-desktop
Quantizationgguf-q4_k_m
Share fragment for this identityv2.eyJzY2hlbWFWZXJzaW9uIjoyLCJjYWxjdWxhdG9yVmVyc2lvbiI6IjAuMy4wIiwiZGF0YXNldFZlcnNpb24iOiIyMDI2LTEwLTAyLjEiLCJjb25maWciOnsibW9kZWxJZCI6InF3ZW4zLTMwYi1hM2IiLCJoYXJkd2FyZUlkIjoibnZpZGlhLWdlZm9yY2UtcnR4LTQwNjAtdGktMTZnYi1kZXNrdG9wIiwiZGV2aWNlQ291bnQiOjEsInF1YW50aXphdGlvbklkIjoiZ2d1Zi1xNF9rX20iLCJjb250ZXh0VG9rZW5zIjo4MTkyLCJjb25jdXJyZW50U2VxdWVuY2VzIjoxLCJlbmdpbmUiOiJsbGFtYS5jcHAiLCJrdlR5cGUiOiJmcDE2In19

Memory breakdown

Weight artifact: 17.28 GiB (18,556,685,824 bytes)
Raw KV cache: 0.75 GiB (805,306,368 bytes)
Engine extras / workspace: 0.13 GiB–0.90 GiB
Total estimated demand: 18.16 GiB–18.93 GiB
Net calculator budget: 15.00 GiB
OS / display reserve: 1.00 GiB
Remaining vs net budget: -3.93 GiB–-3.16 GiB

18.93 GiB high estimate vs 15.00 GiB net

Enough memory does not mean this engine, quant, and OS will run. Support does not mean it will be fast.

Other published files on this device

Same model, device and context (8,192 tokens, 1 sequence, FP16 KV). Each row is one published weight-file set with its usual engine, sorted by memory.

Quantization	Engine	Estimated memory	Fit
BF16 safetensors	`vllm`	58.25 GiB–60.14 GiB	Does not fit
GGUF Q8_0	`llama.cpp`	31.13 GiB–32.16 GiB	Does not fit
GGUF Q6_K (Qwen)	`llama.cpp`	24.24 GiB–25.14 GiB	Does not fit
GGUF Q5_K_M (Qwen)	`llama.cpp`	21.11 GiB–21.94 GiB	Does not fit
GGUF Q4_K_M This page	`llama.cpp`	18.16 GiB–18.93 GiB	Does not fit

Assumptions that affect this result

Requested context is within the recorded native window of 40960 tokens.
Full-resident weight estimates use total parameters, including inactive MoE experts.
This MoE lists 30532122624 total parameters and 3300000000 active parameters. Active-parameter compute is not used as the weight-residency figure.
Weight bytes come from the selected weight files only, not from every file in the repository.
Download file size is not peak GPU memory. Runtime layout, allocator padding, and KV are extra.
Counted files: Qwen3-30B-A3B-Q4_K_M.gguf.
Context budget is the number of cached tokens per sequence (prompt plus reserved generation).
Concurrent sequences share one model replica; weights are not multiplied by sequence count.

Open this combo in the calculator KV Cache

Sources

Qwen3-30B-A3B model card
config.json — revision ad44e777bcd18fa416d9da3bd8f70d33ebb85d39
safetensors index — metadata.total_size=61064245248
Artifact repo Qwen/Qwen3-30B-A3B-GGUF
NVIDIA GeForce RTX 40 Series specs — RTX 4060 Ti Memory Size 16 GB / 8 GB — this record is the 16 GB SKU only

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Qwen3-30B-A3B on RTX 4060 Ti: Does not fit (Sep 2026)

Verdict on GeForce RTX 4060 Ti 16GB (desktop)

Fixed page configuration

Memory breakdown

Other published files on this device

Assumptions that affect this result

Related pages

Sources

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