DeepSeek AI · llama
Can I run deepseek-llm?
An advanced language model crafted with 2 trillion bilingual tokens.
7B parameters4K contexttext21 builds
deepseek-llm 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 |
|---|---|---|---|
| deepseek-llm:7b-base-q4_0 | Q4_0 | 3.7 GB | ~5.7 GB(est.) |
| deepseek-llm:7b | Q4_0 | 3.7 GB | ~5.7 GB(est.) |
| deepseek-llm:7b-base-q4_K_M | Q4_K_M | 3.9 GB | ~6.0 GB(est.) |
| deepseek-llm:7b-chat-q4_K_M | Q4_K_M | 3.9 GB | ~6.0 GB(est.) |
| deepseek-llm:7b-base-q5_K_M | Q5_K_M | 4.6 GB | ~7.0 GB(est.) |
| deepseek-llm:7b-chat-q5_K_M | Q5_K_M | 4.6 GB | ~7.0 GB(est.) |
| deepseek-llm:7b-base-q6_K | Q6_K | 5.3 GB | ~7.9 GB(est.) |
| deepseek-llm:7b-chat-q6_K | Q6_K | 5.3 GB | ~7.9 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 deepseek-llm locally
- 1.Install Ollama for Windows, macOS or Linux.
- 2.Run this in a terminal:
ollama run deepseek-llm:7b-base-q4_0 - 3.The weights download on first run, then an interactive prompt opens.
Frequently asked questions about deepseek-llm
- How much VRAM do I need to run deepseek-llm?
- At 4K context, the smallest published build of deepseek-llm (Q4_0) needs roughly 5.7 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 deepseek-llm 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 5.7 GB of free RAM for the smallest build.
- How big is the deepseek-llm download?
- The smallest published build is 3.7 GB. There are 21 builds in total, the largest being 125.6 GB. Leave some extra free disk space beyond the download itself.
- How do I run deepseek-llm locally?
- Install Ollama, then run "ollama run deepseek-llm:7b-base-q4_0" in a terminal. The weights download on first use and an interactive session opens.
Will deepseek-llm run on your PC?
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Model data from the official Ollama registry · verified 13/09/2026