InternLM20B params33k context

InternLM 2.5 20B locally

InternLM 2.5 20B is an open-weight LLM from the InternLM family with 20B parameters. Main use: chat, RAG and general assistance. Detected minimum hardware: RTX 4060 Ti 16GB (16 GB).

Technical facts
Parameters20B
Max context33k
Q4_K_M12.6 GB
Q5_K_M15.4 GB
Q822.4 GB
FP1644.7 GB
FamilyInternLM
Last sync2026-05-12

Available quantizations

Q4_K_M
12.6GB

Acceptable. Good compromise when VRAM is limited.

Q5_K_M
15.4GB

Good quality. Sweet spot for size and precision.

Q8
22.4GB

Near-FP16 quality. Comfortable for production.

FP16
44.7GB

Reference precision. Maximum quality, doubled VRAM.

Compatible GPUs

GPUs that can run InternLM 2.5 20B on a single card, ranked by VRAM headroom.

Recommended multi-GPU rigs

For InternLM 2.5 20B at higher quantization or with more context, a multi-GPU rig gives more headroom.

Recommended rig

2× GTX 1070

InternLM 2.5 20B with Ubuntu, vLLM, Open WebUI and the model already downloaded.

Configure

Similar models

VRAM estimates: parameters x bits/8 plus margin. Real performance varies by engine, context length and batch size.
sync: 2026-05-12