Can I Run StarCoder 2 on NVIDIA GeForce RTX 4080 Super?
Written by Jakub Rusinowski · Last updated July 12, 2026
Yes, comfortably — 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 ~5.2 GB of the NVIDIA GeForce RTX 4080 Super's 16 GB, at ~61 tok/s (est.), with room for up to 16K context.
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NVIDIA GeForce RTX 4080 Super Specs
| VRAM | 16 GB |
| Memory Bandwidth | 736 GB/s |
StarCoder 2 15B on the NVIDIA GeForce RTX 4080 Super: VRAM by quantization
| Quant | VRAM needed | Fits 16 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 32.5 GB | ✗ No | — | — |
| Q8_0 | 17.9 GB | ✗ No | — | — |
| Q6_K | 14.2 GB | ✓ Yes | 16K | — |
| Q5_K_M | 12.5 GB | ✓ Yes | 16K | — |
| 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 16 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 4080 Super: 8K 10.8 GB · 16K 11.5 GB. Every window this model publishes still fits 16 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 4080 Super (at 8K context)
| StarCoder 2 15B | Q4_K_M · 10.8 GB at 8K context · ~61 tok/s (est.) |
| StarCoder 2 7B | Q4_K_M · 5.7 GB at 8K context · ~111 tok/s (est.) |
| StarCoder 2 3B | Q4_K_M · 2.9 GB at 8K context · ~197 tok/s (est.) |
At 2 hrs/day, buying (~$999) beats renting at $0.34/hr after about 4.1 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
StarCoder 2 on the NVIDIA GeForce RTX 4080 Super — does it fit?
Yes, comfortably — 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 ~5.2 GB of the NVIDIA GeForce RTX 4080 Super's 16 GB, at ~61 tok/s (est.), with room for up to 16K context.
Which StarCoder 2 variant fits best on the NVIDIA GeForce RTX 4080 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 ~61 tokens/sec, up to 16K context.
Every StarCoder 2 size on the NVIDIA GeForce RTX 4080 Super
| Size | VRAM at 8K | Verdict | Speed |
|---|---|---|---|
| StarCoder 2 15B | 10.8 GB | Runs | ~61 tok/s |
| StarCoder 2 7B | 5.7 GB | Runs | ~111 tok/s |
| StarCoder 2 3B | 2.9 GB | Runs | ~197 tok/s |
StarCoder 2 on Other GPUs
- StarCoder 2 on NVIDIA GeForce RTX 5080
- StarCoder 2 on NVIDIA GeForce RTX 5070 Ti
- StarCoder 2 on NVIDIA GeForce RTX 5060 Ti 16GB
- StarCoder 2 on NVIDIA GeForce RTX 4080
- StarCoder 2 on NVIDIA GeForce RTX 4070 Ti Super
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