RTX 5060 8GB can't get to Llama 3.3 70B Instruct at any price. Here's what actually can.

Llama 3.3 70B Instruct at Q4_K_M needs 45.7 GB once weights, KV cache at 8K context and framework overhead are counted. RTX 5060 8GB offers 8 GB, leaving you 37.7 GB short. 128 GB of unified memory leaves about 96 GB for a model after the OS takes its share, which holds Llama 3.3 70B Instruct at Q4_K_M.

What to do

Other ways to get there

• Rent a GPU by the hour instead — You want this daily, so renting is the way to try Llama 3.3 70B Instruct before spending on hardware — not the long-run answer if the usage holds.
• Consider waiting this market out — DDR5 kit prices are roughly 3-4x their mid-2025 level, and the shortage is expected to run into 2027. Relief is not expected before 2027-Q4. Meanwhile you have a way to run this that costs nothing extra.

What we ruled out, and why

• 64GB DDR5 kit (2x32GB) — More memory would let this model load, but the parts of it living in system RAM have to travel over PCIe, so it would run at roughly 0.5-1.1 tok/s — slower than reading speed. More VRAM, not more RAM, is what this needs.
• 96GB DDR5 kit (2x48GB) — More memory would let this model load, but the parts of it living in system RAM have to travel over PCIe, so it would run at roughly 0.5-1.1 tok/s — slower than reading speed. More VRAM, not more RAM, is what this needs.
• 128GB DDR5 kit (4x32GB) — More memory would let this model load, but the parts of it living in system RAM have to travel over PCIe, so it would run at roughly 0.5-1.1 tok/s — slower than reading speed. More VRAM, not more RAM, is what this needs.

Your machine is not exactly this one. Run this for your exact setup — the form opens pre-filled with RTX 5060 8GB and Llama 3.3 70B Instruct.

Questions people ask about this pairing

Can an RTX 5060 8GB run Llama 3.3 70B Instruct?

Not as it stands. Llama 3.3 70B Instruct needs 45.7 GB at Q4_K_M and this machine has 8 GB available, a shortfall of 37.7 GB. 128 GB of unified memory leaves about 96 GB for a model after the OS takes its share, which holds Llama 3.3 70B Instruct at Q4_K_M.

Would more system RAM fix this?

More memory would let this model load, but the parts of it living in system RAM have to travel over PCIe, so it would run at roughly 0.5-1.1 tok/s — slower than reading speed. More VRAM, not more RAM, is what this needs.

Should I wait for prices to come down?

DDR5 kit prices are roughly 3-4x their mid-2025 level, and the shortage is expected to run into 2027. Relief is not expected before 2027-Q4. The current estimate for relief is 2027-Q4. If you can run this some other way meanwhile, waiting is defensible; if you cannot, the part still does the job today.

Does a longer context change what Llama 3.3 70B Instruct needs here?

Yes, and it is the figure people forget. The 45.7 GB above already includes the KV cache at 8K; that cache grows roughly linearly with context, so doubling the window adds real gigabytes rather than a rounding error. If you plan to work with long documents on RTX 5060 8GB, size for the context you will actually use, not the default.

Related

• Llama 3.3 70B Instruct — full specs and VRAM by quantization
• NVIDIA GeForce RTX 5060 — specifications and what else it runs
• VRAM calculator for Llama 3.3 70B Instruct
• Mac mini M4, 16GB → Llama 3.3 70B Instruct: a different machine
• 32GB RAM, no graphics card → Llama 3.3 70B Instruct: a different machine

Data behind this page last checked 2026-08-26.