Written by Jakub Rusinowski · Last updated July 21, 2026
Yes — comfortably
Yes, comfortably — Cosmos 3 Edge at Q8_0 needs about 6 GB of the 8 GB usable on RTX 4060 Laptop (8 GB VRAM, 16 GB RAM), leaving ~2 GB spare and running at ~67.2 tok/s (estimated), with room for about 16,384 tokens of context.
Confidence: medium · Recommended quantization: Q8_0 · Estimated speed: ~67.2 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 | 9.7 GB | ✗ No | — | — | 8 GB |
| Q8_0 | 6 GB | ✓ Yes | 16K | ~67.2 tok/s | 4.3 GB |
| Q6_K | 5 GB | ✓ Yes | 16K | ~80 tok/s | 3.3 GB |
| Q5_K_M | 4.5 GB | ✓ Yes | 16K | ~87.6 tok/s | 2.8 GB |
| Q4_K_M | 4.1 GB | ✓ Yes | 16K | ~96.3 tok/s | 2.4 GB |
| Q3_K_M | 3.4 GB | ✓ Yes | 16K | ~115.7 tok/s | 1.7 GB |
| Q2_K | 3 GB | ✓ Yes | 16K | ~130 tok/s | 1.3 GB |
| Variant | Needs at Q4_K_M | Fits? | Est. speed |
|---|---|---|---|
| Cosmos 3 Super | 41.8 GB | ✗ Too large | — |
| Cosmos 3 Nano | 11.9 GB | ✗ Too large | — |
| Cosmos 3 Edge | 4.1 GB | ✓ Fits | ~96.3 tok/s |
Ollama or llama.cpp (CUDA/ROCm) — vLLM if you need concurrent serving
Yes, comfortably — Cosmos 3 Edge at Q8_0 needs about 6 GB of the 8 GB usable on RTX 4060 Laptop (8 GB VRAM, 16 GB RAM), leaving ~2 GB spare and running at ~67.2 tok/s (estimated), with room for about 16,384 tokens of context.
Q8_0 — it needs about 6 GB of the 8 GB available, downloads as roughly 4.3 GB, and runs at an estimated 67.2 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