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Run LLM Locally

Llama 3.1 8B Instruct on the RTX 5060 Ti 8 GB

With 8 GB of VRAM, the RTX 5060 Ti 8 GB runs Llama 3.1 8B Instruct at Q4_K_M entirely on the GPU with an 8K context (about 6.7 GB needed). At Q8_0 it does not fit in VRAM.

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Llama 3.1 8B Instruct

Q4_K_M · 8K context

Compatible

The model needs about 6.7 GB and fits in the 7.7 GB available (1 GB left).

Your hardware
RTX 5060 Ti 8 GB · 64 GB RAM
Estimated memory
~6.7 GB estimate
VRAM (usable memory)
7.7 GB
GPU only
Yes
CPU/GPU offload
Not required
Generation speed
57–77 tok/s estimate
Largest context in fast memory
15K tokens
Confidence: low

Based on: memory bandwidth (448 GB/s) and model size

Memory breakdown

~6.7 GB (6.2 GB–7.1 GB) needed · estimate

Fits entirely in VRAM · 1 GB left

  • Model weights4.6 GB
  • KV cache1 GB
  • Runtime overhead0.8 GB
  • Safety margin0.3 GB
Assumptions: context 8K tokens · KV cache f16 · llama.cpp (CUDA) · flash attention on · weights = real file size

EstimateData updated 24 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 5060 Ti 8 GB

Llama 3.1 8B Instruct on RTX 5060 Ti 8 GB + 64 GB RAM · 8K context
Llama 3.1 8B Instruct Q8_08K~10.2 GB · 7–14 tok/s estimateCPU/GPU offload
Llama 3.1 8B Instruct Q6_K8K~8.3 GB · 19–33 tok/s estimateCPU/GPU offload
Llama 3.1 8B Instruct Q5_K_M8K~7.5 GB · 50–68 tok/s estimateCompatible with limits
Llama 3.1 8B Instruct Q4_K_M8K~6.7 GB · 57–77 tok/s estimateCompatible
Llama 3.1 8B Instruct IQ4_XS8K~6.2 GB · 61–84 tok/s estimateExcellent
Llama 3.1 8B Instruct Q3_K_M8K~5.8 GB · 66–91 tok/s estimateExcellent

Alternatives

GPUs that run Llama 3.1 8B Instruct Q4_K_M entirely in VRAM

Other models that fit the RTX 5060 Ti 8 GB

Where to buy a RTX 5060 Ti 8 GB

Prices and links follow the market you choose.

GeForce RTX 5060 Ti 8 GB

8 GB GDDR7 · 448 GB/s · 180 W

CompatibleRuns Llama 3.1 8B Instruct Q4_K_M entirely in memory

Price not available

Availability unknown

View on amazon.com

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Frequently asked questions

Can the RTX 5060 Ti 8 GB run Llama 3.1 8B Instruct?
The model needs about 6.7 GB and fits in the 7.7 GB available (1 GB left).
Which quantization should I use on the RTX 5060 Ti 8 GB?
Q5_K_M is the highest-precision quantization that fits entirely in VRAM at 8K context. ~7.5 GB / 7.7 GB.
What is the largest context on the RTX 5060 Ti 8 GB?
At Q4_K_M, about 15K tokens fit entirely in VRAM with an f16 KV cache. A q8_0 KV cache roughly doubles that.
How fast is Llama 3.1 8B Instruct (RTX 5060 Ti 8 GB)?
We estimate 57–77 tok/s (estimate, confidence low). Based on: memory bandwidth (448 GB/s) and model size.