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MiniMaxQwen2ForCausalLM

SynLogic Mix 3 32B — Hardware Requirements & GPU Compatibility

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SynLogic Mix 3 32B is a 32.8B-parameter open language model from MiniMax. It supports a context window of up to 131,072 tokens. At Q4_K_M it needs about 20.50 GB of VRAM — see which GPUs and Macs can run it below.

32.8B params · dense131K contextMIT121 downloads20 likes
Based on Qwen2.5 32B
A

Runs well on a 24 GB GPU

Runs on24 GB Q4_K_M · ~32 tok/s · 8KMacs from24 GB Q4_K_M · ~11 tok/s

MIT

Reference GPU · RTX 4090 24 GB

Estimates, ±20% · how we estimate

Run SynLogic Mix 3 32B

One recommended way. Every other method, OS and quant is in the step-by-step guide.

Recommended

vLLM
one command · needs vLLM installed
$vllm serve MiniMaxAI/SynLogic-Mix-3-32B --max-model-len 16384

vLLM repo with its own quantisation

Download: Weights on Hugging Face

install, OS, other quants

Other ways

each opens step-by-step

Run in cloud

Fits on RTX A6000 (48 GB) (23 GB headroom) · Q4_K_M

Generation speed
~24 tok/s
generation speed
Cost per 1M output tokens
$3.76
per 1M output tokens
Deployon RunPodBest optionfrom $0.33/hr (opens in new tab)
Compare GPUs →
or

How Much VRAM Does SynLogic Mix 3 32B Need?

Select a quantization level; the listed hardware adheres to it.

QuantizationVRAM+32KOn RTX 4090 (reference)
14.8 GB22.8 GB2-bit · K-quant — 2-bit quantization with K-quant improvementsFits: 32K context · ~44 tok/s
16.8 GB24.9 GB3-bit medium — 3-bit medium quantizationFits: 16K context · ~39 tok/s
20.5 GB28.6 GB4-bit medium — 4-bit medium quantization — most popular sweet spotFits: 8K context · ~32 tok/s
24.2 GB32.2 GB5-bit medium — 5-bit medium quantization — good quality/size tradeoffDoes not fit: needs 27.9 GB
27.9 GB35.9 GB6-bit, very good — 6-bit quantization, very good qualityDoes not fit: needs 31.6 GB
33.6 GB41.7 GB8-bit, near-lossless — 8-bit quantization, near-losslessDoes not fit: needs 37.4 GB
66.4 GB74.4 GB16-bit · bfloat — Brain floating point 16 — preferred for trainingDoes not fit: needs 70.1 GB
est.calculated, no published file yet

Selected Q4_K_M

4-bit medium quantization

24.3GBat 16K context

Weights
19.7 GB
KV cache
4.3 GB
Overhead
0.3 GB

Fits RTX 4090 (reference) · fits up to 8K context · ~32 tok/s

≥50 tok/s needs ≥1.57 TB/s · RTX 5090 ~57

Which Hardware Can Run SynLogic Mix 3 32B?

Q4_K_M · 20.5 GB

SynLogic Mix 3 32B (Q4_K_M) requires 20.5 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 27+ GB is recommended. Using the full 131K context window can add up to 33.8 GB, bringing total usage to 54.3 GB. 7 GPUs can run it, including NVIDIA GeForce RTX 5090, NVIDIA GeForce RTX 3090 Ti. 122 devices with unified memory can run SynLogic Mix 3 32B, including Mac Studio (M3 Ultra, 256GB), Mac Studio (M3 Ultra, 512GB), Mac Studio M1 Max (32 GB).

By VRAM tier · typical GPUs and Macs at Q4_K_M
8–16 GB · RTX 4060, RTX 3060 12GB, RTX 5060 Ti 16GBDoesn't fit — smallest quant needs 18.5 GB8 GB tier →12 GB tier →16 GB tier →
24 GB · RTX 4090referenceQ4_K_M · 24.3 GB · ~32 tok/s · 8Ktight24 GB tier →
Mac 32 GB · Mac Mini M4Q4_K_M · 24.3 GB · ~4 tok/s · 16KMacs →
Mac 64 GB · Mac Studio M4 MaxQ4_K_M · 24.3 GB · ~19 tok/s · 128KMacs →

Alternatives to SynLogic Mix 3 32B

Similar models

6
ModelScoreVRAMtok/sWhy it is similar
MiniCPM V 4.7 35B A3BOpenBMB—22.1 GB~169same size
NVIDIA Nemotron 3.5 Lightning 30B A3B BF16NVIDIA—19.3 GB~197same size
Agents A1InternScience—21.5 GB~171same size
Ornith 1.0 35BDeep Reinforce—21.5 GB~171same size
EXAONE 4.5 33BLGAI-EXAONE—23.9 GB~33same size
Gemma 4 31BGoogle—22.6 GB~31same size

Specifications

Publisher
MiniMax
Parameters
32.8B
Architecture
Qwen2ForCausalLM
Context Length
131,072 tokens
Vocabulary Size
152,064
Release Date
2025-05-30
License
MIT

Resources

Frequently Asked Questions

How much VRAM does SynLogic Mix 3 32B need?

SynLogic Mix 3 32B requires 20.5 GB of VRAM at Q4_K_M, or 66.4 GB at BF16. Full 131K context adds up to 33.8 GB (54.3 GB total).

VRAM = Weights + KV Cache + Overhead

Weights = 32.8B × 4.8 bits ÷ 8 = 19.7 GB

KV Cache + Overhead ≈ 0.8 GB (at 2K context + ~0.3 GB framework)

Fit ratings and hardware model lists check this model with room for a 16K-token context, which needs a little more memory.

KV Cache + Overhead ≈ 34.6 GB (at full 131K context)

VRAM usage by quantization

20.5 GB
54.3 GB

Learn more about VRAM estimation →

Can NVIDIA GeForce RTX 4090 run SynLogic Mix 3 32B?

Yes, at Q4_K_M (20.5 GB) or lower. Higher quantizations like Q5_K_M (24.2 GB) exceed the NVIDIA GeForce RTX 4090's 24 GB.

What's the best quantization for SynLogic Mix 3 32B?

For SynLogic Mix 3 32B, Q4_K_M (20.5 GB) offers the best balance of quality and VRAM usage. Q5_K_M (24.2 GB) provides better quality if you have the VRAM. The smallest option is Q2_K at 14.8 GB.

VRAM requirement by quantization

Q2_K
14.8 GB
Q4_K_M ★
20.5 GB
Q5_K_M
24.2 GB
Q6_K
27.9 GB
Q8_0
33.6 GB
BF16
66.4 GB

★ Recommended — best balance of quality and VRAM usage.

Learn more about quantization →

Can I run SynLogic Mix 3 32B on a Mac?

Yes — Mac Mini M5 Pro (24 GB) and 106 other Macs can run SynLogic Mix 3 32B. Apple Silicon uses unified memory, so the model shares RAM with the system. At Q4_K_M you need at least 20.5 GB of usable unified memory (RAM minus macOS overhead).

Can I run SynLogic Mix 3 32B locally?

Yes — SynLogic Mix 3 32B can run locally on consumer hardware. Popular tools include Ollama, LM Studio, and llama.cpp.

How fast is SynLogic Mix 3 32B?

At Q4_K_M, SynLogic Mix 3 32B can reach ~234 tok/s on AMD Instinct MI350X. On NVIDIA GeForce RTX 4090: ~32 tok/s. Speed depends mainly on GPU memory bandwidth. Real-world results typically within ±20%.

tok/s = (bandwidth GB/s ÷ model GB) × efficiency

Example: NVIDIA B200 → 8000 ÷ 20.5 × 0.65 = ~254 tok/s

Estimated speed at Q4_K_M (20.5 GB)

~254 tok/s
~32 tok/s
~254 tok/s
~234 tok/s

Real-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.

Learn more about tok/s estimation →

What's the download size of SynLogic Mix 3 32B?

At Q4_K_M, the download is about 19.66 GB. The full-precision BF16 version is 65.53 GB. The smallest option (Q2_K) is 13.92 GB.

Which GPUs can run SynLogic Mix 3 32B?

7 consumer GPUs can run SynLogic Mix 3 32B at Q4_K_M. Top options include NVIDIA GeForce RTX 5090, AMD Radeon RX 7900 XTX, NVIDIA GeForce RTX 3090. 1 GPU has plenty of headroom for comfortable inference.

Which devices can run SynLogic Mix 3 32B?

122 devices with unified memory can run SynLogic Mix 3 32B at Q4_K_M (20.5 GB), including AMD Ryzen AI 9 HX 370 (Strix Point) Laptop, ASUS Ascent GX10, Beelink GTR9 Pro (Ryzen AI Max+ 395, 128 GB), Framework Desktop (Ryzen AI Max+ 395, 128 GB). Apple Silicon Macs use unified memory shared between CPU and GPU, making them well-suited for local LLM inference.