Can I Run StarCoder 2 on NVIDIA GeForce RTX 4070 Super?
Written by Jakub Rusinowski · Last updated September 29, 2026
Yes, but it's tight — StarCoder 2 15B at Q4_K_M needs 10.8 GB at 8K context (9.4 GB weights + 1.4 GB KV cache/overhead), leaving ~1.2 GB of the NVIDIA GeForce RTX 4070 Super's 12 GB, at ~43 tok/s (est.), with room for up to 16K context.
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NVIDIA GeForce RTX 4070 Super Specs
| VRAM | 12 GB |
| Memory Bandwidth | 504 GB/s |
StarCoder 2 15B on the NVIDIA GeForce RTX 4070 Super: VRAM by quantization
| Quant | VRAM needed | Fits 12 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 32.5 GB | ✗ No | — | — |
| Q8_0 | 17.9 GB | ✗ No | — | — |
| Q6_K | 14.2 GB | ✗ No | — | — |
| Q5_K_M | 12.5 GB | ✗ No | — | — |
| Q4_K_M | 10.8 GB | ✓ Yes | 16K | — |
| Q3_K_M | 8.1 GB | ✓ Yes | 16K | — |
| Q2_K | 6.6 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 12 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 4070 Super: 8K 10.8 GB · 16K 11.5 GB. Every window this model publishes still fits 12 GB.
No compatible GPU? StarCoder 2 15B on 16 GB of system RAM, CPU only: runs, but it is tight.
StarCoder 2 Sizes That Fit the NVIDIA GeForce RTX 4070 Super (at 8K context)
| StarCoder 2 15B | Q4_K_M · 10.8 GB at 8K context · ~43 tok/s (est.) |
| StarCoder 2 7B | Q4_K_M · 5.7 GB at 8K context · ~82 tok/s (est.) |
| StarCoder 2 3B | Q4_K_M · 2.9 GB at 8K context · ~156 tok/s (est.) |
At 2 hrs/day, buying (~$599) beats renting at $0.34/hr after about 2.4 years.
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FAQ
Can I run StarCoder 2 on the NVIDIA GeForce RTX 4070 Super?
Yes, but it's tight — StarCoder 2 15B at Q4_K_M needs 10.8 GB at 8K context (9.4 GB weights + 1.4 GB KV cache/overhead), leaving ~1.2 GB of the NVIDIA GeForce RTX 4070 Super's 12 GB, at ~43 tok/s (est.), with room for up to 16K context.
What's the best StarCoder 2 size for the NVIDIA GeForce RTX 4070 Super?
StarCoder 2 15B at Q4_K_M quantization needs 10.8 GB at 8K context (9.4 GB weights + 1.4 GB KV cache/overhead), estimated ~43 tokens/sec, up to 16K context.
Every StarCoder 2 size on the NVIDIA GeForce RTX 4070 Super
| Size | VRAM at 8K | Verdict | Speed |
|---|---|---|---|
| StarCoder 2 15B | 10.8 GB | Runs | ~43 tok/s |
| StarCoder 2 7B | 5.7 GB | Runs | ~82 tok/s |
| StarCoder 2 3B | 2.9 GB | Runs | ~156 tok/s |
StarCoder 2 on Other GPUs
- StarCoder 2 on NVIDIA GeForce RTX 5070
- StarCoder 2 on NVIDIA GeForce RTX 4070 Ti
- StarCoder 2 on NVIDIA GeForce RTX 4070
- StarCoder 2 on NVIDIA GeForce RTX 3060 (12GB)
- StarCoder 2 on Intel Arc B580
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VRAM Tier
Troubleshooting
- CUDA out of memory — why it happens and how to fix it
- Which GGUF quant should I download? (Q4 vs Q5 vs Q8)
Buying Guide
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