Written by Jakub Rusinowski · Last updated February 28, 2024
Yes
Yes — StarCoder 2 15B at Q6_K needs about 14.2 GB of the 16 GB usable on RTX 4090 Laptop (16 GB VRAM, 32 GB RAM) (~1.8 GB spare), at ~37.7 tok/s (estimated), with room for about 16,384 tokens of context.
Confidence: high · Recommended quantization: Q6_K · Estimated speed: ~37.7 tok/s
| Usable memory for models | 16 GB |
| Memory bandwidth | 717 GB/s |
| Form factor | Laptop |
| Operating system | Windows or Linux |
| Memory upgradeable | Yes |
| Quant | Memory needed | Fits 16 GB? | Max context | Est. speed | Download |
|---|---|---|---|---|---|
| F16 | 32.5 GB | ✗ No | — | — | 31 GB |
| Q8_0 | 17.9 GB | ✗ No | — | — | 16.5 GB |
| Q6_K | 14.2 GB | ✓ Yes | 16K | ~37.7 tok/s | 12.7 GB |
| Q5_K_M | 12.5 GB | ✓ Yes | 16K | ~42.9 tok/s | 11 GB |
| Q4_K_M | 10.8 GB | ✓ Yes | 16K | ~49.3 tok/s | 9.4 GB |
| Q3_K_M | 8.1 GB | ✓ Yes | 16K | ~66 tok/s | 6.6 GB |
| Q2_K | 6.6 GB | ✓ Yes | 16K | ~81 tok/s | 5.1 GB |
| Variant | Needs at Q4_K_M | Fits? | Est. speed |
|---|---|---|---|
| StarCoder 2 15B | 10.8 GB | ✓ Fits | ~49.3 tok/s |
| StarCoder 2 7B | 5.7 GB | ✓ Fits | ~92.3 tok/s |
| StarCoder 2 3B | 2.9 GB | ✓ Fits | ~171 tok/s |
Ollama or llama.cpp (CUDA/ROCm) — vLLM if you need concurrent serving
Yes — StarCoder 2 15B at Q6_K needs about 14.2 GB of the 16 GB usable on RTX 4090 Laptop (16 GB VRAM, 32 GB RAM) (~1.8 GB spare), at ~37.7 tok/s (estimated), with room for about 16,384 tokens of context.
Q6_K — it needs about 14.2 GB of the 16 GB available, downloads as roughly 12.7 GB, and runs at an estimated 37.7 tokens/sec with up to 16K of context.
Nothing binding — the model fits with headroom and generates at a usable speed on this hardware.
Ollama or llama.cpp (CUDA/ROCm) — vLLM if you need concurrent serving
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