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Run LLM Locally

Granite 4.2 8B on the RTX 4060

Granite 4.2 8B at Q4_K_M needs about 7.3 GB; the RTX 4060 has 8 GB: it fits with almost no margin at 8K context. At Q8_0 it does not fit in VRAM.

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Granite 4.2 8B

Q4_K_M · 8K context

Compatible with limits

The model needs about 7.3 GB (up to 7.7 GB) for 7.7 GB available: it fits, but with almost no margin. Use a shorter context or a smaller quantization if loading fails.

Your hardware
RTX 4060 8 GB · 64 GB RAM
Estimated memory
~7.3 GB estimate
VRAM (usable memory)
7.7 GB
GPU only
Yes
CPU/GPU offload
Not required
Generation speed
32–43 tok/s estimate
Largest context in fast memory
10K tokens
Confidence: low

Based on: memory bandwidth (272 GB/s) and model size

Memory breakdown

~7.3 GB (6.9 GB–7.7 GB) needed · estimate

Fits entirely in VRAM · 0.4 GB left

  • Model weights5 GB
  • KV cache1.3 GB
  • Runtime overhead0.7 GB
  • Safety margin0.3 GB
Assumptions: context 8K tokens · KV cache f16 · llama.cpp (CUDA) · flash attention on · weights = real file size

EstimateData updated 40 days agoSource: Run LLM Locally engine, Hugging Face config.json + model card

What makes this estimate less reliable

  • no benchmark for this hardware and model yet

Other quantizations on the RTX 4060

Granite 4.2 8B on RTX 4060 + 64 GB RAM · 8K context
Granite 4.2 8B Q8_08K~11.2 GB · 5–9 tok/s estimateCPU/GPU offload
Granite 4.2 8B Q6_K8K~9.1 GB · 9.5–17 tok/s estimateCPU/GPU offload
Granite 4.2 8B Q5_K_M8K~8.2 GB · 16–28 tok/s estimateCPU/GPU offload
Granite 4.2 8B Q4_K_M8K~7.3 GB · 32–43 tok/s estimateCompatible with limits
Granite 4.2 8B IQ4_XS8K~6.8 GB · 35–46 tok/s estimateCompatible
Granite 4.2 8B Q3_K_M8K~6.3 GB · 38–51 tok/s estimateExcellent

Alternatives

GPUs that run Granite 4.2 8B Q4_K_M entirely in VRAM

Other models that fit the RTX 4060

Where to buy a RTX 4060

Prices and links follow the market you choose.

GeForce RTX 4060

8 GB GDDR6 · 272 GB/s · 115 W

Compatible with limitsRuns Granite 4.2 8B Q4_K_M entirely in memory

Price not available

Availability unknown

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Frequently asked questions

Can the RTX 4060 run Granite 4.2 8B?
The model needs about 7.3 GB (up to 7.7 GB) for 7.7 GB available: it fits, but with almost no margin. Use a shorter context or a smaller quantization if loading fails.
Which quantization should I use on the RTX 4060?
Q4_K_M is the highest-precision quantization that fits entirely in VRAM at 8K context. ~7.3 GB / 7.7 GB.
What is the largest context on the RTX 4060?
At Q4_K_M, about 10K tokens fit entirely in VRAM with an f16 KV cache. A q8_0 KV cache roughly doubles that.
How fast is Granite 4.2 8B (RTX 4060)?
We estimate 32–43 tok/s (estimate, confidence low). Based on: memory bandwidth (272 GB/s) and model size.