{"id":1183,"date":"2026-04-19T11:42:07","date_gmt":"2026-04-19T11:42:07","guid":{"rendered":"https:\/\/techno.slomka.biz\/?p=1183"},"modified":"2026-04-21T09:56:19","modified_gmt":"2026-04-21T09:56:19","slug":"which-ollama-models-work-with-hermes-agent-a-quick-context-window-check","status":"publish","type":"post","link":"https:\/\/techno.slomka.biz\/?p=1183","title":{"rendered":"Which Ollama Models Work with Hermes Agent? A Quick Context Window Check"},"content":{"rendered":"\n

If you’ve ever tried to run Hermes Agent<\/strong> only to get a cryptic error about context windows, you’re not alone. Here’s a quick guide to understand what’s happening \u2014 and how to find a compatible model in Ollama.<\/p>\n\n\n\n

The Error<\/h2>\n\n\n\n

When you launch Hermes Agent with an incompatible model, you’ll see something like this:<\/p>\n\n\n\n

Model deepseek-coder:33b has a context window of 16,384 tokens,\nwhich is below the minimum 64,000 required by Hermes Agent.\n\nChoose a model with at least 64K context, or set\nmodel.context_length in config.yaml to override.\n<\/pre>\n\n\n\n
Hermes Agent is designed to handle long, multi-step reasoning and tool-use chains. For that to work reliably, it needs a model with a context window of at least 64,000 tokens<\/strong>. Models with smaller windows simply can’t hold enough conversation history and tool output in memory \u2014 so the agent stops before it can do any useful work.<\/p>\n\n\n\n
What Is a Context Window?<\/h2>\n\n\n\n
The context window<\/strong> (also called context length<\/strong>) is the maximum amount of text a language model can “see” and work with at any one time \u2014 measured in tokens<\/strong>. A token is roughly \u00be of a word, so 64,000 tokens is approximately 48,000 words, or a short novel.<\/p>\n\n\n\n
Think of it as the model’s working memory. Everything relevant to the current task \u2014 your instructions, the conversation history, tool outputs, retrieved documents, and the model’s own previous responses \u2014 must fit inside this window. Once the limit is reached, older content gets pushed out and the model effectively “forgets” it.<\/p>\n\n\n\n
For simple one-off questions this rarely matters. But for an AI agent<\/strong> like Hermes, which plans multi-step tasks, calls tools, reads results, and reasons across long chains of actions, the context window fills up fast. A window that’s too small means the agent loses track of what it was doing \u2014 or stops entirely, as you’ve seen.<\/p>\n\n\n\n
see https:\/\/docs.ollama.com\/context-length<\/a><\/p>\n\n\n\n
How to Check Context Window Sizes in Ollama<\/h2>\n\n\n\n
Not all Ollama models advertise their context size prominently. Here’s a handy one-liner you can run in your terminal to list every local model alongside its context length:<\/p>\n\n\n\n
Python<\/span>