Written by Jakub Rusinowski · Last updated February 28, 2024
Yes
Yes — StarCoder 2 7B at Q6_K needs about 7.2 GB of the 8 GB usable on RTX 4060 Laptop (8 GB VRAM, 16 GB RAM) (~0.8 GB spare), at ~30.8 tok/s (estimated), with room for about 16,384 tokens of context.
Confidence: high · Recommended quantization: Q6_K · Estimated speed: ~30.8 tok/s
| Usable memory for models | 8 GB |
| Memory bandwidth | 272 GB/s |
| Form factor | Laptop |
| Operating system | Windows or Linux |
| Memory upgradeable | Yes |
| Price | $1,099 (lib/data/laptops.ts (street price), checked 2026-07-06) |
| Quant | Memory needed | Fits 8 GB? | Max context | Est. speed | Download |
|---|---|---|---|---|---|
| F16 | 15.7 GB | ✗ No | — | — | 14.4 GB |
| Q8_0 | 9 GB | ✗ No | — | — | 7.7 GB |
| Q6_K | 7.2 GB | ✓ Yes | 16K | ~30.8 tok/s | 5.9 GB |
| Q5_K_M | 6.4 GB | ✓ Yes | 16K | ~35 tok/s | 5.1 GB |
| Q4_K_M | 5.7 GB | ✓ Yes | 16K | ~40.2 tok/s | 4.3 GB |
| Q3_K_M | 4.4 GB | ✓ Yes | 16K | ~53.7 tok/s | 3.1 GB |
| Q2_K | 3.7 GB | ✓ Yes | 16K | ~65.9 tok/s | 2.4 GB |
| Variant | Needs at Q4_K_M | Fits? | Est. speed |
|---|---|---|---|
| StarCoder 2 15B | 10.8 GB | ✗ Too large | — |
| StarCoder 2 7B | 5.7 GB | ✓ Fits | ~40.2 tok/s |
| StarCoder 2 3B | 2.9 GB | ✓ Fits | ~85.2 tok/s |
Ollama or llama.cpp (CUDA/ROCm) — vLLM if you need concurrent serving
Yes — StarCoder 2 7B at Q6_K needs about 7.2 GB of the 8 GB usable on RTX 4060 Laptop (8 GB VRAM, 16 GB RAM) (~0.8 GB spare), at ~30.8 tok/s (estimated), with room for about 16,384 tokens of context.
Q6_K — it needs about 7.2 GB of the 8 GB available, downloads as roughly 5.9 GB, and runs at an estimated 30.8 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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