InternLM 3 — Local AI Model by Shanghai AI Lab

Name: LLM Configurator — GPU VRAM Checker
Author: LLM Configurator

Autor: Jakub Rusinowski · Ostatnia aktualizacja: 10 lipca 2026

A powerful open-source model from China's Shanghai AI Lab. InternLM 3 excels at bilingual Chinese-English tasks, coding, and long document analysis. Particularly strong in math and STEM reasoning, making it the top open choice for Chinese language applications.

Hardware Requirements

InternLM 3 8B Instruct	Min 6 GB VRAM · Q4_K_M · 32,768 ctx · `ollama run internlm3:8b`
InternLM 3 20B Instruct	Min 13 GB VRAM · Q4_K_M · 32,768 ctx · `ollama run internlm3:20b`

Recommended GPU

The cheapest GPU that runs InternLM 3 locally (min 6 GB VRAM) is the Intel Arc B570 (10 GB).

Ujawnienie afiliacyjne: Niektóre odnośniki na tej stronie to linki afiliacyjne — jeśli dokonasz zakupu za ich pośrednictwem, LLM Configurator może otrzymać prowizję bez dodatkowych kosztów dla Ciebie. Jako uczestnik programu Amazon Associates, LLM Configurator zarabia na kwalifikujących się zakupach.

Intel Arc B570 10GB

Sugerowana cena premierowa: $219

Ceny w 2026 są niestabilne — sprawdź aktualną ofertę.

Sprawdź cenę na Amazon

How to Run Locally

Install Ollama then run: ollama run internlm3:8b

Minimum VRAM: 6 GB. For best results use Q4_K_M quantization.

InternLM 3 — Frequently Asked Questions

How much VRAM does InternLM 3 need?

InternLM 3 needs about 6 GB VRAM at Q4_K_M quantization for its smallest variant. Variants: InternLM 3 8B Instruct (6 GB, Q4_K_M); InternLM 3 20B Instruct (13 GB, Q4_K_M). On Apple Silicon, unified memory counts toward this requirement.

Can I run InternLM 3 on an RTX 4090 (24 GB)?

Yes — InternLM 3 runs on an RTX 4090 (24 GB) and other 24 GB cards such as the RTX 3090. Smaller variants also fit comfortably on 8–16 GB GPUs at Q4_K_M.

What quantization should I use for InternLM 3?

Q4_K_M is the best balance of quality and VRAM for InternLM 3 in most cases. Choose Q8_0 for near-lossless quality if you have spare VRAM, or smaller quants (Q3/Q2) only when memory is tight.

How do I run InternLM 3 with Ollama?

Install Ollama, then run: ollama run internlm3:8b. This downloads InternLM 3 and starts a local, OpenAI-compatible endpoint — no internet connection is needed after the initial download.