Can I Run InternLM 3 20B Instruct on NVIDIA GeForce RTX 5070?
Written by Jakub Rusinowski · Last updated July 12, 2026
Not at Q4_K_M — that needs 14.5 GB at 8K context and the NVIDIA GeForce RTX 5070 has 12 GB. Drop to Q3_K_M and it fits in 10.9 GB, with up to 8K of context.
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The numbers
| Model | InternLM 3 20B Instruct |
| Parameters | 20B |
| Quantization | Q4_K_M |
| VRAM needed (8K context) | 14.5 GB |
| NVIDIA GeForce RTX 5070 VRAM | 12 GB |
| Verdict | Runs at a lower quant |
| Fits at | Q3_K_M (10.9 GB) |
| Max context | 8K |
InternLM 3 20B Instruct on the NVIDIA GeForce RTX 5070: VRAM by quantization
| Quant | VRAM needed | Fits 12 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 42.4 GB | ✗ No | — | — |
| Q8_0 | 23.6 GB | ✗ No | — | Build for this |
| Q6_K | 18.8 GB | ✗ No | — | — |
| Q5_K_M | 16.6 GB | ✗ No | — | — |
| Q4_K_M | 14.5 GB | ✗ No | — | Build for this |
| Q3_K_M | 10.9 GB | ✓ Yes | 8K | — |
| Q2_K | 9 GB | ✓ Yes | 16K | — |
Assumes an 8K-token context with an f16 KV cache, on an estimated architecture — this model publishes no config we can read. A longer window needs more; a quantized KV cache needs less. “Max context” is the largest window that still fits in 12 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 5070: 8K 14.5 GB ✗ · 32K 19.2 GB ✗. Past 8K it no longer fits 12 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.
What to do next
Quantize to Q3_K_M. That is the cheapest fix — it costs some quality but no money.
No compatible GPU? InternLM 3 20B Instruct on 24 GB of system RAM, CPU only: runs.
Running InternLM 3 20B Instruct on this card:
InternLM 3 20B Instruct needs ~15 GB but this GPU has 12 GB. Rent a RTX 4090 (24 GB)-class GPU by the hour instead of buying one:
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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 5070
- InternLM 3 8B Instruct — runs (6.5 GB)
InternLM 3 20B Instruct on nearby hardware
- Intel Arc B570 (10 GB) — runs at a lower quant
- NVIDIA GeForce RTX 5080 (16 GB) — runs
All InternLM 3 sizes on the NVIDIA GeForce RTX 5070 | InternLM 3 20B Instruct model page | NVIDIA GeForce RTX 5070 GPU page | VRAM calculator | Check your hardware