Shanghai AI Laboratory · internlm2
Can I run internlm2?
InternLM2.5 is a 7B parameter model tailored for practical scenarios with outstanding reasoning capability.
7.7B parameters32K contexttextApache License24 builds
internlm2 system requirements
Memory needed at 4K context, counting model weights, KV cache, compute buffers and runtime overhead. Download sizes come from the official Ollama registry.
| Build | Quantization | Download | Memory needed |
|---|---|---|---|
| internlm2:1.8b | Q4_0 | 1.0 GB | ~1.9 GB(est.) |
| internlm2:1.8b-chat-v2.5-q4_K_M | Q4_K_M | 1.1 GB | ~2.0 GB(est.) |
| internlm2:1.8b-chat-v2.5-q5_K_M | Q5_K_M | 1.3 GB | ~2.2 GB(est.) |
| internlm2:1.8b-chat-v2.5-q6_K | Q6_K | 1.4 GB | ~2.5 GB(est.) |
| internlm2:1.8b-chat-v2.5-q8_0 | Q8_0 | 1.9 GB | ~3.1 GB(est.) |
| internlm2:1.8b-chat-v2.5-fp16 | F16 | 3.5 GB | ~5.4 GB(est.) |
| internlm2:7b | Q4_0 | 4.1 GB | ~6.3 GB(est.) |
| internlm2:1m | Q4_0 | 4.1 GB | ~6.3 GB(est.) |
Figures marked (est.) approximate the KV cache because this model's architecture details are not published. They are indicative rather than exact.
How to run internlm2 locally
- 1.Install Ollama for Windows, macOS or Linux.
- 2.Run this in a terminal:
ollama run internlm2:1.8b - 3.The weights download on first run, then an interactive prompt opens.
Frequently asked questions about internlm2
- How much VRAM do I need to run internlm2?
- At 4K context, the smallest published build of internlm2 (Q4_0) needs roughly 1.9 GB of GPU memory once weights, KV cache, compute buffers and runtime overhead are counted. Bigger quantizations and longer context windows need more. It can also run partly or entirely on the CPU using system RAM, more slowly.
- Can I run internlm2 without a dedicated GPU?
- Yes, but slowly. Without a GPU the model runs on the CPU using system RAM, which usually means a few tokens per second rather than dozens. You would need at least 1.9 GB of free RAM for the smallest build.
- How big is the internlm2 download?
- The smallest published build is 1.0 GB. There are 24 builds in total, the largest being 37.0 GB. Leave some extra free disk space beyond the download itself.
- How do I run internlm2 locally?
- Install Ollama, then run "ollama run internlm2:1.8b" in a terminal. The weights download on first use and an interactive session opens.
Will internlm2 run on your PC?
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Model data from the official Ollama registry · verified 13/09/2026