Can I Run StarCoder 2 on NVIDIA GeForce RTX 3070 Ti?
Written by Jakub Rusinowski · Last updated September 29, 2026
Yes, comfortably — StarCoder 2 7B at Q4_K_M needs 5.7 GB at 8K context (4.3 GB weights + 1.4 GB KV cache/overhead), leaving ~2.3 GB of the NVIDIA GeForce RTX 3070 Ti's 8 GB, at ~69 tok/s (est.), with room for up to 16K context.
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NVIDIA GeForce RTX 3070 Ti Specs
| VRAM | 8 GB |
| Memory Bandwidth | 608 GB/s |
StarCoder 2 7B on the NVIDIA GeForce RTX 3070 Ti: VRAM by quantization
| Quant | VRAM needed | Fits 8 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 15.7 GB | ✗ No | — | — |
| Q8_0 | 9 GB | ✗ No | — | — |
| Q6_K | 7.2 GB | ✓ Yes | 16K | — |
| Q5_K_M | 6.4 GB | ✓ Yes | 16K | — |
| Q4_K_M | 5.7 GB | ✓ Yes | 16K | — |
| Q3_K_M | 4.4 GB | ✓ Yes | 16K | — |
| Q2_K | 3.7 GB | ✓ Yes | 16K | — |
Assumes an 8K-token context with an f16 KV cache. A longer window needs more; a quantized KV cache needs less. “Max context” is the largest window that still fits in 8 GB. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.
Context costs VRAM too. At Q4_K_M on the NVIDIA GeForce RTX 3070 Ti: 8K 5.7 GB · 16K 6.2 GB. Every window this model publishes still fits 8 GB.
No compatible GPU? StarCoder 2 7B on 8 GB of system RAM, CPU only: runs.
StarCoder 2 Sizes That Fit the NVIDIA GeForce RTX 3070 Ti (at 8K context)
| StarCoder 2 7B | Q4_K_M · 5.7 GB at 8K context · ~69 tok/s (est.) |
| StarCoder 2 3B | Q4_K_M · 2.9 GB at 8K context · ~136 tok/s (est.) |
At 2 hrs/day, buying (~$599) beats renting at $0.34/hr after about 2.4 years.
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Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.
FAQ
Is the NVIDIA GeForce RTX 3070 Ti enough to run StarCoder 2 locally?
Yes, comfortably — StarCoder 2 7B at Q4_K_M needs 5.7 GB at 8K context (4.3 GB weights + 1.4 GB KV cache/overhead), leaving ~2.3 GB of the NVIDIA GeForce RTX 3070 Ti's 8 GB, at ~69 tok/s (est.), with room for up to 16K context.
What's the best StarCoder 2 size for the NVIDIA GeForce RTX 3070 Ti?
StarCoder 2 7B at Q4_K_M quantization needs 5.7 GB at 8K context (4.3 GB weights + 1.4 GB KV cache/overhead), estimated ~69 tokens/sec, up to 16K context.
Every StarCoder 2 size on the NVIDIA GeForce RTX 3070 Ti
| Size | VRAM at 8K | Verdict | Speed |
|---|---|---|---|
| StarCoder 2 15B | 10.8 GB | Runs at Q2_K | — |
| StarCoder 2 7B | 5.7 GB | Runs | ~69 tok/s |
| StarCoder 2 3B | 2.9 GB | Runs | ~136 tok/s |
StarCoder 2 on Other GPUs
- StarCoder 2 on NVIDIA GeForce RTX 5060 Ti 8GB
- StarCoder 2 on NVIDIA GeForce RTX 5060
- StarCoder 2 on NVIDIA GeForce RTX 4060
- StarCoder 2 on NVIDIA GeForce RTX 3070
- StarCoder 2 on AMD Radeon RX 9060 XT 8GB
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