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Qwen 2.5 Coder Q4 M4 Max Inference test. Apple MLX vs Ollama: - MLX: 23.97 toks/sec 🥇🔥 - Ollama: 18.33 toks/sec 🥈 Here a video to show results

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Ivan Fioravanti ᯅ

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34,881 просмотров • 1 год назад •via X (Twitter)

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Qwen 32B (4-bit) generates at >40 toks/sec on an M4 Max with assisted decoding and Qwen 0.5B as the draft model. Coming soon to mlx-lm. Compare regular decoding (left) to assisted decoding (right):

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Llama 3.3 70B 4-bit runs nicely on a 64GB M3 Max with in MLX LM (~10 toks/sec). Would be even faster on an M4 Max. Yesterday's server-only 405B is today's laptop 70B:

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The new Deep Seek V3 0324 in 4-bit runs at > 20 toks/sec on a 512GB M3 Ultra with mlx-lm!

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oMLX last version seems having some issues in decoding. 🧐 Here a test with Qwen3.6-35B-A3B-MLX-6bit on M5 Max using. 🥇 LM Studio MLX 1.8.5 → 100.9 toks/s 🥈 mlx-vlm 0.6.2 → 100.1 toks/s 🥉 oMLX 0.4.2 dev3 → 58.7 toks/s 👀 Avg Gen TPS: oMLX 58.7 → LM Studio 100.9 (+71.8%) I have to thank pymike00 that raised this oMLX issue after seeing my video on using it with Codex. I bet there is a bug in oMLX chat and server at the moment, because internal benchmarks are ok, video attached. I bet Jun Kim will fix this soon 💪

Ivan Fioravanti ᯅ

19,756 просмотров • 18 дней назад

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85,228 просмотров • 4 месяцев назад

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Running Ring 1T reasoning model on a single M3 Ultra with mlx-lm. It's quantized to 3.5 bits-per-weight. Uses 440GB and generated ~6k tokens at 18.2 toks/sec. Getting closer to GPT-5 at home.

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MLX Swift example can also QLoRA fine-tune Llama 3.2. Here's the 1B fine-tuning on my iPhone 15 Pro at > 150 toks/sec. A this rate only takes a few minutes to learn some decent adapters fully on-device.

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91,632 просмотров • 1 год назад

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I bought the M4 Max 48GB RAM and first thing I did is to test local LLMs. It can barely run llama3.3 70b, but qwen2.5-coder 32b works very well. I'll test with MLX next ✌️

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315,827 просмотров • 1 год назад

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Pretty cool that with the new Qwen 2.5 models you can ask questions / generate using a reasonably sized code-base as context, all running on a laptop with mlx-lm. The 7B runs pretty fast on an M4 Max using the mlx-lm code base (~16k lines) as context:

Awni Hannun

27,442 просмотров • 1 год назад

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117,339 просмотров • 4 месяцев назад

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🔥 DeepSeek R1 671B Q4 - M3 Ultra 512GB with MLX🔥 - 18.43 tokens/sec - Generates a p5js zero-shot, tested at video's end 😱 - Video in real-time, no acceleration! - First test, and I'm blown away! Prompt: "Create an amazing animation using p5js"

Ivan Fioravanti ᯅ

46,451 просмотров • 1 год назад