Run Ling-3.0 Flash on M5 Max

Ling-3.0 Flash runs at 68 tok/s on a 128 GB M5 Max, a community run reported by omlx.ai (MLX, 4-bit, 1k context). It needs about 96 GB of unified memory. It is Ant Group's 124B mixture-of-experts model (5B active), released under the MIT licence.

Speed
community68
tok/s
First Token
—
seconds
RAM Needed
96
GB minimum
Engine
MLX
of this figure
Want to run Ling-3.0 Flash faster — or step up to bigger models? Find your Mac →

The figure

This is a community run: a real run, reported by its source and linked below. The index records it as given and never adjusts it.

MetricValue
Tokens per secondcommunity68 tok/s
Provenancecommunity run · omlx.ai
Quantization4-bit
EngineMLX
Context1k
Figure dated2026-08-07
Minimum RAM96 GB
Parameters124B MoE (5B active)
Chip bandwidth614 GB/s

Every figure for Ling-3.0 Flash on the M5 Max

Each row as the index holds it, with its source. “Mac RAM” is the memory of the Mac a run used, not the model’s requirement (96 GB). The headline figure follows the reference rule: the lower-median measured plain-decode run at 5 bits or fewer (a run whose quant was not stated counts only when no stated-quant run qualifies), else the estimate; a run marked “not used to anchor estimates” is listed here but never becomes the headline.

SpeedQuantEngineMac RAMContextSourceNote
community68 tok/s4-bitMLX128 GB1komlx.ai40-core GPU. oMLX v0.5.7, MTP/DFlash off; Ling-3.0-flash-MLX-4bit, 66.7 GB peak. 66.8 tok/s at 4k.
Provenance key
sourced
Published figure — vendor or press review
estimated
community
Linked individual run — blog, forum or submission

Setup: run Ling-3.0 Flash on a Mac

Ollama — the index has not verified an Ollama tag for Ling-3.0 Flash, so it doesn’t print one (a guessed tag fails with “pull model manifest: file does not exist”). Search the Ollama library →

MLX — pick a build from Hugging Face’s MLX listings, then run it with its repo id:

pip install -U mlx-lm
mlx_lm.generate --model <repo-id> --prompt "Hello"

Downloads: Search the Ollama library → · model card →

The 68 tok/s figure above came from MLX at 4-bit; other runtimes and quants run at different speeds.

Prefer a GUI? LM Studio downloads GGUF and MLX builds in one click. Step by step: install Ollama on a Mac.

About Ling-3.0 Flash

Ant Group's MIT-licensed 124B MoE with 5B active and 256K context. About 67 GB in use at 4-bit, so it needs a 96 GB+ Mac; a community oMLX run measured 68 tok/s on an M5 Max (MLX 4-bit, MTP off).

MIT licence · 124B MoE · 256K context · LLMCheck capability 38/50 · see its leaderboard rank →

System requirements

Macs with the M5 Max

🛒 Get a Mac that runs Ling-3.0 Flash

Ling-3.0 Flash needs about 96 GB of unified memory. These current Apple Silicon Macs have the headroom to run it comfortably:

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