Ollama Library · qwen2
Can I run reader-lm?
A series of models that convert HTML content to Markdown content, which is useful for content conversion tasks.
1.5B parameters250K contexttextCreative Commons Attribution-NonCommercial 4.0 International12 builds
reader-lm 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 |
|---|---|---|---|
| reader-lm:0.5b | Q4_0 | 0.3 GB | ~1.0 GB(est.) |
| reader-lm:0.5b-q4_K_M | Q4_K_M | 0.4 GB | ~1.0 GB(est.) |
| reader-lm:0.5b-q5_K_M | Q5_K_M | 0.4 GB | ~1.0 GB(est.) |
| reader-lm:0.5b-q6_K | Q6_K | 0.5 GB | ~1.2 GB(est.) |
| reader-lm:0.5b-q8_0 | Q8_0 | 0.5 GB | ~1.2 GB(est.) |
| reader-lm:1.5b | Q4_0 | 0.9 GB | ~1.7 GB(est.) |
| reader-lm:1.5b-q4_K_M | Q4_K_M | 0.9 GB | ~1.8 GB(est.) |
| reader-lm:0.5b-fp16 | F16 | 0.9 GB | ~1.8 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 reader-lm locally
- 1.Install Ollama for Windows, macOS or Linux.
- 2.Run this in a terminal:
ollama run reader-lm:0.5b - 3.The weights download on first run, then an interactive prompt opens.
Frequently asked questions about reader-lm
- How much VRAM do I need to run reader-lm?
- At 4K context, the smallest published build of reader-lm (Q4_0) needs roughly 1.0 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 reader-lm 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 1.0 GB of free RAM for the smallest build.
- How big is the reader-lm download?
- The smallest published build is 0.3 GB. There are 12 builds in total, the largest being 2.9 GB. Leave some extra free disk space beyond the download itself.
- How do I run reader-lm locally?
- Install Ollama, then run "ollama run reader-lm:0.5b" in a terminal. The weights download on first use and an interactive session opens.
Will reader-lm run on your PC?
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Model data from the official Ollama registry · verified 13/09/2026