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Can RTX 4060 run Unsloth Deepseek R1 Distill Qwen 32B Bnb 4bit?

Unsloth Deepseek R1 Distill Qwen 32B Bnb 4bit speed on RTX 4060 and quantization-level VRAM fit.

Q4 not recommended8GB VRAM availableRequires 16GB+

RTX 4060 does not meet the minimum VRAM requirement for Q4 inference of Unsloth Deepseek R1 Distill Qwen 32B Bnb 4bit. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.

Buy options for RTX 4060Best GPU guidesCompare prebuilt systems
Short answer: RTX 4060 is not a comfortable Q4 fit for Unsloth Deepseek R1 Distill Qwen 32B Bnb 4bit (about 16GB needed).
Estimated speed
20 tok/s
VRAM needed
16GB
VRAM headroom
-8GB

What this means for you

RTX 4060 lacks sufficient VRAM for comfortable Unsloth Deepseek R1 Distill Qwen 32B Bnb 4bit operation with Q4 quantization.

Your 8GB GPU is 8GB short of the 16GB minimum.

Options: (1) Try Q2 or Q3 quantization for lower VRAM requirements, (2) Consider cloud GPU rental, (3) Upgrade to a GPU with at least 16GB VRAM.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q416GB8GB19.63 tok/s❌ Not recommended
Q832GB8GB13.74 tok/s❌ Not recommended
FP1664GB8GB7.46 tok/s❌ Not recommended

Suitable alternatives

AMD Instinct MI300X
192GB
333.93 tok/s
Price: —
Fit note: higher estimated speed than the baseline option.
Check Unsloth Deepseek R1 Distill Qwen 32B Bnb 4bit on AMD Instinct MI300X
NVIDIA H200 SXM 141GB
141GB
301.55 tok/s
Price: —
Fit note: higher estimated speed than the baseline option.
Check Unsloth Deepseek R1 Distill Qwen 32B Bnb 4bit on NVIDIA H200 SXM 141GB
NVIDIA H100 SXM5 80GB
80GB
216.59 tok/s
Price: —
Fit note: higher estimated speed than the baseline option.
Check Unsloth Deepseek R1 Distill Qwen 32B Bnb 4bit on NVIDIA H100 SXM5 80GB
AMD Instinct MI250X
128GB
208.93 tok/s
Price: —
Fit note: higher estimated speed than the baseline option.
Check Unsloth Deepseek R1 Distill Qwen 32B Bnb 4bit on AMD Instinct MI250X
NVIDIA H100 PCIe 80GB
80GB
137.49 tok/s
Price: —
Fit note: higher estimated speed than the baseline option.
Check Unsloth Deepseek R1 Distill Qwen 32B Bnb 4bit on NVIDIA H100 PCIe 80GB
Need more VRAM for Unsloth Deepseek R1 Distill Qwen 32B Bnb 4bit?
RTX 4060 is 8GB short. Consider a GPU with 21GB+ VRAM.
Best GPU for 70B Models →Best GPU for LLMs →All buying guides →

Compare purchase paths

Direct GPU buy options

Check current pricing links for RTX 4060 and similar cards.

Open RTX 4060 buy links →
Curated best GPU guides

Use workload-focused recommendations before committing to a purchase.

Browse best GPU guides →
Prebuilt AI systems

Compare complete systems if you want ready-to-run hardware.

Compare prebuilt systems →

Not ready to upgrade?

Your GPU doesn't meet the VRAM requirements. Run Unsloth Deepseek R1 Distill Qwen 32B Bnb 4bit on cloud GPU instantly.

Vast.aiFrom $0.20/hr · Pay as you goRent GPU →RunPodFrom $0.30/hr · Secure cloudRent GPU →Lambda LabsFrom $0.50/hr · Enterprise-gradeRent GPU →

More questions

RTX 4060 buy options & pricingFull guide for Unsloth Deepseek R1 Distill Qwen 32B Bnb 4bitBest GPU guides for this modelCompare prebuilt local AI systemsBrowse all model + GPU compatibility checksUnsloth Deepseek R1 Distill Qwen 32B Bnb 4bit Q4 requirementsUnsloth Deepseek R1 Distill Qwen 32B Bnb 4bit Q4_K_M requirementsCan AMD Instinct MI300X run Unsloth Deepseek R1 Distill Qwen 32B Bnb 4bit?Can NVIDIA H200 SXM 141GB run Unsloth Deepseek R1 Distill Qwen 32B Bnb 4bit?Can NVIDIA H100 SXM5 80GB run Unsloth Deepseek R1 Distill Qwen 32B Bnb 4bit?

Compatibility FAQ

Can RTX 4060 run Unsloth Deepseek R1 Distill Qwen 32B Bnb 4bit?

RTX 4060 is not a comfortable Q4 fit for Unsloth Deepseek R1 Distill Qwen 32B Bnb 4bit (about 16GB needed).

How much VRAM is needed for Unsloth Deepseek R1 Distill Qwen 32B Bnb 4bit on RTX 4060?

Q4 inference is estimated to need about 16GB VRAM on this page, while RTX 4060 has 8GB available.

What if RTX 4060 is not enough for Unsloth Deepseek R1 Distill Qwen 32B Bnb 4bit?

Try lower-bit quantization, choose a smaller model, or move to a higher-VRAM GPU from the alternatives list.