Short answer: use 24GB only for a constrained Q4 vision workload, 32GB as the practical Q4 tier, 48GB for bounded Q8, 64GB for more Q8 context and working room, and 80GB/96GB for the official 68.283GB BF16 checkpoint. Every GGUF path must include its separate multimodal projector.
A 19.851GB Q4 file is not the complete model. The ggml-org conversion also needs a 735MB Q8_0 or 1.379GB F16 projector. Then add KV cache, dynamic-resolution image/video work, runtime buffers and concurrency.
Qwen2.5-VL 32B files and VRAM tiers
| Deployment path | Displayed files | Combined file size | Planning tier |
|---|---|---|---|
| ggml-org Q4_K_M + Q8 projector | 19.851GB + 0.735GB | 20.586GB | 24GB constrained; 32GB practical |
| ggml-org Q4_K_M + F16 projector | 19.851GB + 1.379GB | 21.230GB | 24GB tight; 32GB practical |
| ggml-org Q8_0 + Q8 projector | 34.821GB + 0.735GB | 35.556GB | 48GB bounded; 64GB safer |
| ggml-org Q8_0 + F16 projector | 34.821GB + 1.379GB | 36.200GB | 48GB bounded; 64GB safer |
| Official Qwen BF16 safetensors | 18 shards totaling 68.283GB | 68.283GB | 80GB bounded; 96GB safer |
Why 24GB is constrained
The smallest complete Q4 path is about 20.59GB before cache or runtime state. An 8K FP16/BF16 language cache adds 2GiB by arithmetic, leaving little room for image encoding, compute buffers, allocator behavior and display use on a nominal 24GB card. A compatible runtime and bounded inputs may work, but 24GB is not a universal full-offload promise.
At 32GB, the same Q4 path gains useful working room for shorter contexts and modest image workloads. At 48GB, Q8 becomes plausible, but a 32K cache payload is 8GiB before vision and runtime allocations; use 64GB when longer contexts, larger images or concurrency matter.
KV cache: 256KiB per allocated text token
Qwen’s official configuration lists 64 language layers, eight KV heads and a 128-element head dimension. With FP16/BF16 keys and values, one sequence uses 2 × 64 × 8 × 128 × 2 = 262,144 bytes, or 256KiB per allocated text token.
| Allocated text tokens | FP16/BF16 KV payload |
|---|---|
| 8K | 2GiB |
| 16K | 4GiB |
| 32K | 8GiB |
| 64K | 16GiB |
| 128K architectural maximum | 32GiB |
Official BF16: 80GB is a bounded target
The official checkpoint consumes 68.283GB on disk. Adding the arithmetic 8K cache reaches roughly 70.4GB before vision and runtime allocations; 32K reaches roughly 76.9GB before those allocations. Exact usable memory is lower than many device labels. Treat 80GB as a bounded shorter-context target and 96GB as the safer planning tier rather than assuming the checkpoint label guarantees fit.
Image and video inputs change the answer
- Dynamic resolution: different image dimensions produce different visual-token workloads.
- Multiple images: image count increases preprocessing and prompt state.
- Video: resolution, sampled frames, duration and frame rate affect memory and work.
- Projector precision: the community Q8_0 and F16 projector files differ by about 644MB.
- Concurrency: parallel requests multiply cache and intermediate allocations.
- Offload: system-RAM fallback can make a workload run but does not prove acceptable speed.
Reproducible Qwen2.5-VL 32B fit test
- Record repository, revision, every model/projector file, size and checksum.
- Record runtime/version and confirm image input is supported for this exact packaging.
- Record model, projector and cache precision plus accelerator placement.
- Fix image dimensions, image count, video settings, text allocation, output target and concurrency.
- Measure accelerator and system memory before load, after load, after vision encoding and at peak generation.
- Test image-grounded questions; successful text generation alone does not prove the vision path.
- Capture preprocessing time, time to first token, throughput, fallback and out-of-memory errors.
Start with the Qwen2.5-VL family guide, compare the 7B exact guide, the multimodal hub, and the generic 32B sizing guide.
Use the 32B hardware guide, 48GB–96GB capacity comparison, VRAM calculator, workload test and benchmark submission.
Continue planning
Browse all guides and tools. Capacity fit does not establish speed, image accuracy or output quality.
Need the flagship size? Compare the Qwen2.5-VL 72B VRAM guide, including complete Q4/Q8 projector paths, 320KiB-per-token cache geometry and multi-device safeguards.
Newer sibling: the Qwen3-VL 32B VRAM guide uses official Qwen GGUF-plus-projector totals and 256KiB-per-token cache geometry.
Sources and limits
- Qwen official 32B repository
- Qwen official configuration
- Qwen2.5-VL-32B release article
- ggml-org community GGUF conversion
- HighVRAM methodology
Reviewed October 25, 2026. Artifact sizes and architecture fields were read from the cited repositories. HighVRAM has not independently benchmarked every runtime, image resolution, video configuration, quantization or concurrency level. File size is not peak resident memory.