Files read on Hugging Face: 2026-10-24

LTX-2.3 GGUF files and Mac RAM

LTX-2.3 is a 22B DiT-based audio-video foundation model from Lightricks that generates synchronized video and audio in a single model. On a Mac it runs through community MLX ports, and no official Lightricks Mac benchmark was found.

Lightricks · Updated 2026-10-24
Answer

No published Mac run with a GGUF build yet. The smallest complete GGUF download is 26.74 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
26.74 GBUnsloth GGUF dev Q4_K_M with GGUF Gemma 3 (ComfyUI)
Files read
2026-10-24Hugging Face

LTX-2 Community License Agreement. Commercial use: restricted. Excluded territories: none listed. Entities with annual revenues of at least $10,000,000 require a paid commercial use license.

Table 1

Which exact GGUF files make a complete build?

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

Unsloth GGUF dev Q4_K_M with GGUF Gemma 3 (ComfyUI)

gguf · Q4_K_M · 26.74 GB complete

Mac routes: ComfyUI

Exact component files for Unsloth GGUF dev Q4_K_M with GGUF Gemma 3 (ComfyUI)
FileComponentRequiredDownloadSource
ltx-2.3-22b-dev-Q4_K_M.ggufunsloth/LTX-2.3-GGUFLTX-2.3 22B transformer (dev or distilled)ditYes14.33 GBHugging FaceRead 2026-10-24
vae/ltx-2.3-22b-dev_video_vae.safetensorsunsloth/LTX-2.3-GGUFVideo VAE (bundled in the official checkpoints)vaeNo1.45 GBHugging FaceRead 2026-10-24
vae/ltx-2.3-22b-dev_audio_vae.safetensorsunsloth/LTX-2.3-GGUFAudio VAE (bundled in the official checkpoints)audioNo0.36 GBHugging FaceRead 2026-10-24
text_encoders/ltx-2.3-22b-dev_embeddings_connectors.safetensorsunsloth/LTX-2.3-GGUFText projection and connectors (bundled in the official checkpoints)otherNo2.31 GBHugging FaceRead 2026-10-24
gemma-3-12b-it-qat-UD-Q4_K_XL.ggufunsloth/gemma-3-12b-it-qat-GGUFGemma 3 12B text encodertext_encoderYes7.43 GBHugging FaceRead 2026-10-24
mmproj-BF16.ggufunsloth/gemma-3-12b-it-qat-GGUFGemma 3 12B text encodertext_encoderYes0.85 GBHugging FaceRead 2026-10-24

Build sources: Unsloth LTX-2.3 GGUF 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 GBUnsloth GGUF dev Q4_K_M with GGUF Gemma 3 (ComfyUI)Q4_K_M · ComfyUI26.74 GBDoes not fitest.
16 GBUnsloth GGUF dev Q4_K_M with GGUF Gemma 3 (ComfyUI)Q4_K_M · ComfyUI26.74 GBDoes not fitest.
24 GBUnsloth GGUF dev Q4_K_M with GGUF Gemma 3 (ComfyUI)Q4_K_M · ComfyUI26.74 GBDoes not fitest.
32 GBUnsloth GGUF dev Q4_K_M with GGUF Gemma 3 (ComfyUI)Q4_K_M · ComfyUI26.74 GBunknownunknown
48 GBUnsloth GGUF dev Q4_K_M with GGUF Gemma 3 (ComfyUI)Q4_K_M · ComfyUI26.74 GBunknownunknown
64 GBUnsloth GGUF dev Q4_K_M with GGUF Gemma 3 (ComfyUI)Q4_K_M · ComfyUI26.74 GBunknownunknown
96 GBUnsloth GGUF dev Q4_K_M with GGUF Gemma 3 (ComfyUI)Q4_K_M · ComfyUI26.74 GBunknownunknown
128 GBUnsloth GGUF dev Q4_K_M with GGUF Gemma 3 (ComfyUI)Q4_K_M · ComfyUI26.74 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?

"Official tested stack: Python >=3.12, CUDA version >12.7, PyTorch ~= 2.7. No official Mac memory figure was found."

Source: LTX-2.3 model card · Read 2026-10-24.

What known issues should you check?

  • Known issue 1

    The card lists only a CUDA test stack, and no official Mac memory statement or Lightricks Mac benchmark was found.

    Source: LTX-2.3 model card · Read 2026-10-24

  • Known issue 2

    The appautomaton benchmark carries no run date. The date shown is the date of the pinned commit.

    Source: appautomaton ltx-video-mlx performance notes · Read 2026-10-24

  • Known issue 3

    Width and height must be divisible by 32, and the frame count must be divisible by 8 plus 1.

    Source: LTX-2.3 model card · Read 2026-10-24

Sources