Can I Run InternLM 3 8B Instruct on NVIDIA GeForce RTX 3090?
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 3090 has 24 GB, leaving about 18.7 GB of headroom, at roughly 85 tok/s (estimated) with room for up to 128K 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 3090 VRAM | 24 GB |
| Verdict | Runs |
| Max context | 128K |
| Estimated speed | ~85 tok/s |
InternLM 3 8B Instruct on the NVIDIA GeForce RTX 3090: VRAM by quantization
| Quant | VRAM needed | Fits 24 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 18.6 GB | ✓ Yes | 32K | — |
| Q8_0 | 10.4 GB | ✓ Yes | 32K | — |
| Q6_K | 8.2 GB | ✓ Yes | 32K | — |
| Q5_K_M | 7.2 GB | ✓ Yes | 32K | — |
| 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 24 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 3090: 8K 6.5 GB · 32K 7.7 GB. Every window this model publishes still fits 24 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 (~$1,499) beats renting at $0.34/hr after about 6.1 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.
Other InternLM 3 sizes on the NVIDIA GeForce RTX 3090
- InternLM 3 20B Instruct — runs (12.1 GB)
InternLM 3 8B Instruct on nearby hardware
- AMD Radeon RX 7900 XT (20 GB) — runs
All InternLM 3 sizes on the NVIDIA GeForce RTX 3090 | InternLM 3 8B Instruct model page | NVIDIA GeForce RTX 3090 GPU page | Check your hardware