Can I Run InternLM 3 8B Instruct on NVIDIA GeForce RTX 5060?
作者： Jakub Rusinowski · 最后更新： 2026年9月19日
Yes. InternLM 3 8B Instruct needs 5.3 GB at Q4_K_M and the NVIDIA GeForce RTX 5060 has 8 GB, leaving about 2.7 GB of headroom, at roughly 60 tok/s (estimated) with room for up to 16K of context.
See what else this hardware can run →
The numbers
| Model | InternLM 3 8B Instruct |
| Parameters | 8B |
| Quantization | Q4_K_M |
| VRAM needed | 5.3 GB |
| NVIDIA GeForce RTX 5060 VRAM | 8 GB |
| Verdict | Runs |
| Max context | 16K |
| Estimated speed | ~60 tok/s |
InternLM 3 8B Instruct on the NVIDIA GeForce RTX 5060: VRAM by quantization
| Quant | VRAM needed | Fits 8 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 18.6 GB | ✗ No | — | — |
| Q8_0 | 10.4 GB | ✗ No | — | — |
| Q6_K | 8.2 GB | ✗ No | — | — |
| Q5_K_M | 7.2 GB | ✓ Yes | 16K | — |
| Q4_K_M | 6.3 GB | ✓ Yes | 32K | — |
| Q3_K_M | 4.8 GB | ✓ Yes | 32K | — |
| Q2_K | 3.9 GB | ✓ Yes | 32K | — |
Assumes a 4K-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 8 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 5060: 8K 6.5 GB · 32K 7.7 GB. Every window this model publishes still fits 8 GB.
What to do next
Nothing to change — run it at Q4_K_M. If you want more capability, check whether the next size up also fits.
No compatible GPU? InternLM 3 8B Instruct on 8 GB of system RAM, CPU only: runs.
Running InternLM 3 8B Instruct on this card:
At 2 hrs/day, buying (~$299) beats renting at $0.34/hr after about 15 months.
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Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.
Other InternLM 3 sizes on the NVIDIA GeForce RTX 5060
- InternLM 3 20B Instruct — does not fit (12.1 GB)
InternLM 3 8B Instruct on nearby hardware
- NVIDIA GeForce RTX 3080 (10GB) (10 GB) — runs
All InternLM 3 sizes on the NVIDIA GeForce RTX 5060 | InternLM 3 8B Instruct model page | NVIDIA GeForce RTX 5060 GPU page | Check your hardware