Files read on Hugging Face: 2026-10-24

Wan2.2 TI2V 5B GGUF files and Mac RAM

Wan2.2 TI2V 5B is a dense 5B model for text-to-video and image-to-video at 720P and 24 fps. On a Mac it runs through mlx-video, and FastVideo publishes a distilled INT8 derivative.

Wan-AI · Updated 2026-10-24
Answer

No published Mac run with a GGUF build yet. The smallest complete GGUF download is 13.55 GB; a download that fits in memory does not prove the model runs.

Smallest Mac with a published run
none yetunknown below
Smallest complete download
13.55 GBQuantStack GGUF Q8_0
Files read
2026-10-24Hugging Face

Apache License 2.0. Commercial use: allowed. Excluded territories: none listed.

Table 1

Which exact GGUF files make a complete build?

Only builds with every required component and an exact probed file size are shown.

QuantStack GGUF Q8_0

gguf · Q8_0 · 13.55 GB complete

Mac routes: ComfyUI

Exact component files for QuantStack GGUF Q8_0
FileComponentRequiredDownloadSource
Wan2.2-TI2V-5B-Q8_0.ggufQuantStack/Wan2.2-TI2V-5B-GGUFTI2V-5B dense transformerditYes5.40 GBHugging FaceRead 2026-10-24
split_files/text_encoders/umt5_xxl_fp8_e4m3fn_scaled.safetensorsComfy-Org/Wan-2.2UMT5-XXL text encodertext_encoderYes6.74 GBHugging FaceRead 2026-10-24
split_files/vae/wan2.2_vae.safetensorsComfy-Org/Wan-2.2Wan2.2-VAEvaeYes1.41 GBHugging FaceRead 2026-10-24

Build sources: QuantStack Wan2.2 TI2V 5B GGUF card · Comfy-Org Wan 2.2 repackaged card.

Table 2

Does it fit your Mac's RAM?

Published names the exact measured machine. est. is a memory calculation. unknown means the run verdict is not established, not that the model fails.

Run verdicts by Mac memory tier
Mac RAMComplete buildDownloadRun verdictBasis
8 GBQuantStack GGUF Q8_0Q8_0 · ComfyUI13.55 GBDoes not fitest.
16 GBQuantStack GGUF Q8_0Q8_0 · ComfyUI13.55 GBunknownunknown
24 GBQuantStack GGUF Q8_0Q8_0 · ComfyUI13.55 GBunknownunknown
32 GBQuantStack GGUF Q8_0Q8_0 · ComfyUI13.55 GBunknownunknown
48 GBQuantStack GGUF Q8_0Q8_0 · ComfyUI13.55 GBunknownunknown
64 GBQuantStack GGUF Q8_0Q8_0 · ComfyUI13.55 GBunknownunknown
96 GBQuantStack GGUF Q8_0Q8_0 · ComfyUI13.55 GBunknownunknown
128 GBQuantStack GGUF Q8_0Q8_0 · ComfyUI13.55 GBunknownunknown

How does it rank in blind votes?

No independent score yet.

Which Mac software routes are listed?

  • ComfyUI

    Official

    Formats: safetensors, gguf. Memory policy: component stages stay resident.

    On Apple Silicon ComfyUI runs on PyTorch MPS, not MLX. GGUF files need the separate city96/ComfyUI-GGUF custom node. Resident size is the sum of the weights, an upper bound: ComfyUI can unload models between stages and publishes no per-model Mac peak.

    Sources: ComfyUI README · ComfyUI system requirements · ComfyUI CLI arguments · ComfyUI-GGUF README

What does the official configuration say?

"The official native runner needs a GPU with at least 24GB VRAM. No official Mac memory minimum was found."

Source: Wan2.2 TI2V 5B model card · Read 2026-10-24.

What known issues should you check?

  • Known issue 1

    FastMetal 5B QAD is a three-step distilled INT8 derivative, so its times and memory are not base-model figures.

    Source: FastMetal-QAD announcement · Read 2026-10-24

  • Known issue 2

    mlx-video lists 40 steps for TI2V-5B while the official Wan config uses 50, so pass the step count explicitly when comparing times.

    Source: Wan2.2 TI2V 5B config · Read 2026-10-24

Sources