Qwen3-14B on RTX 5080: Fits (Sep 2026)

Conditional memory judgement for one configuration. Change context, quant, or engine and the conclusion can change. Configuration used on this page: GGUF Q5_K_M (Qwen), 8,192 cached tokens, 1 sequence, engine llama.cpp. Status: Likely fits. Software: Not verified..

Likely fitsNot verifiedThis result is an estimate, not a measured trace.

Verdict on GeForce RTX 5080 16GB (desktop)

Yes, run Q5_K_M. The calculator puts it at 11.2 GiB–11.8 GiB at 8,192 tokens, inside 14.0 GiB of usable VRAM (after the driver reserve). Q8_0 is the next step up and does not clear the bar (16.0 GiB–16.8 GiB).

With Q5_K_M, the longest context that still counts as a fit is about 12,933 tokens of a 40,960-token native window, one sequence, fp16 KV cache.

Published GGUF quants for Qwen3-14B on GeForce RTX 5080 16GB (desktop) at 8,192 tokens
GGUF quant	File weights	KV cache	Estimated total	Verdict
Q8_0	14.6 GiB	1.3 GiB	16.0 GiB–16.8 GiB	Does not fit
Q6_K	11.3 GiB	1.3 GiB	12.7 GiB–13.4 GiB	Tight
Q5_K_M (recommended)	9.8 GiB	1.3 GiB	11.2 GiB–11.8 GiB	Fits
Q4_K_M	8.4 GiB	1.3 GiB	9.8 GiB–10.4 GiB	Fits

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

GGUF Q5_K_M needs 11.2 GiB-11.8 GiB at 8,192 tokens against 14.00 GiB net on GeForce RTX 5080 16GB (desktop). Q8_0, Q6_K are tight or over budget.

ModelQwen3-14B
HardwareGeForce RTX 5080 16GB (desktop)
QuantizationGGUF Q5_K_M (Qwen)
Context length (cached tokens)8,192
Enginellama.cpp
Concurrent sequences1
KV cache typefp16

Technical identifiers and share data

Modelqwen3-14b
Hardwarenvidia-geforce-rtx-5080-16gb-desktop
Quantizationgguf-q5_k_m
Share fragment for this identityv2.eyJzY2hlbWFWZXJzaW9uIjoyLCJjYWxjdWxhdG9yVmVyc2lvbiI6IjAuMy4wIiwiZGF0YXNldFZlcnNpb24iOiIyMDI2LTEwLTAyLjEiLCJjb25maWciOnsibW9kZWxJZCI6InF3ZW4zLTE0YiIsImhhcmR3YXJlSWQiOiJudmlkaWEtZ2Vmb3JjZS1ydHgtNTA4MC0xNmdiLWRlc2t0b3AiLCJkZXZpY2VDb3VudCI6MSwicXVhbnRpemF0aW9uSWQiOiJnZ3VmLXE1X2tfbSIsImNvbnRleHRUb2tlbnMiOjgxOTIsImNvbmN1cnJlbnRTZXF1ZW5jZXMiOjEsImVuZ2luZSI6ImxsYW1hLmNwcCIsImt2VHlwZSI6ImZwMTYifX0

Memory breakdown

Weight artifact: 9.79 GiB (10,514,569,568 bytes)
Raw KV cache: 1.25 GiB (1,342,177,280 bytes)
Engine extras / workspace: 0.13 GiB–0.78 GiB
Total estimated demand: 11.17 GiB–11.83 GiB
Net calculator budget: 14.00 GiB
OS / display reserve: 2.00 GiB
Remaining vs net budget: 2.17 GiB–2.83 GiB

11.83 GiB high estimate vs 14.00 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`	29.38 GiB–31.30 GiB	Does not fit
GGUF Q8_0 (Qwen)	`llama.cpp`	16.00 GiB–16.75 GiB	Does not fit
GGUF Q6_K (Qwen)	`llama.cpp`	12.66 GiB–13.35 GiB	Tight fit
GGUF Q5_K_M (Qwen) This page	`llama.cpp`	11.17 GiB–11.83 GiB	Fits
GGUF Q4_K_M	`llama.cpp`	9.76 GiB–10.39 GiB	Fits

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.
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: Qwen3-14B-Q5_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.
KV dtype is independent of weight quantization unless you change it.

Open this combo in the calculator KV Cache

Sources

Qwen3-14B model card
config.json — revision 40c069824f4251a91eefaf281ebe4c544efd3e18
safetensors index — metadata.total_size=29536614400
Artifact repo Qwen/Qwen3-14B-GGUF
NVIDIA GeForce compare — 50 Series — Standard Memory Config 16 GB GDDR7

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Qwen3-14B on RTX 5080: Fits (Sep 2026)

Verdict on GeForce RTX 5080 16GB (desktop)

Fixed page configuration

Memory breakdown

Other published files on this device

Assumptions that affect this result

Related pages

Sources

Calculator