Lesson 946 of 2116
Ollama Context Windows: Set Them Deliberately
Ollama local coding workflows often fail because the effective context is too small or too large for the hardware.
Lesson map
What this lesson covers
Learning path
The main moves in order
- 1Ollama Context Windows: Set Them Deliberately
- 2Tool Calling With Ollama
- 3Tool Calling With Ollama
- 4Pick A Model That Fits Your Machine
Concept cluster
Terms to connect while reading
Section 1
Ollama Context Windows: Set Them Deliberately
Ollama local coding workflows often fail because the effective context is too small or too large for the hardware.
- 1Name the job before naming the tool.
- 2Write the smallest useful scope the agent can finish.
- 3Run the result as a user, not as a fan of the tool.
- 4Inspect the diff, data access, and failure path before sharing.
Use this as the working prompt or checklist for the lesson.
Check the model card. Set num_ctx deliberately. Test the same coding task at 4k, 16k, and 32k context and record accuracy plus latency.- What should the user be able to do when this is finished?
- What data should the app or agent never expose?
- What test proves the change works?
- What rollback path exists if the output is wrong?
Key terms in this lesson
Section 2
Tool Calling With Ollama
Section 3
Tool Calling With Ollama
Modern Ollama supports tool calling for compatible models, but the harness must pass schemas, execute calls, and return tool results correctly.
- 1Name the job before naming the tool.
- 2Write the smallest useful scope the agent can finish.
- 3Run the result as a user, not as a fan of the tool.
- 4Inspect the diff, data access, and failure path before sharing.
Use this as the working prompt or checklist for the lesson.
Write a weather tool schema. Ask qwen3 to call it. Execute the function, append the tool result, and ask the model for the final answer.- What should the user be able to do when this is finished?
- What data should the app or agent never expose?
- What test proves the change works?
- What rollback path exists if the output is wrong?
Section 4
Pick A Model That Fits Your Machine
Section 5
Pick A Model That Fits Your Machine
The best local model is the one your hardware can run at a useful speed with enough context for the job.
- 1Name the job before naming the tool.
- 2Write the smallest useful scope the agent can finish.
- 3Run the result as a user, not as a fan of the tool.
- 4Inspect the diff, data access, and failure path before sharing.
Use this as the working prompt or checklist for the lesson.
Record your hardware. Try one 7B/8B, one 14B/24B, and one larger model if possible. Score speed, compile-fix ability, and tool-call reliability.- What should the user be able to do when this is finished?
- What data should the app or agent never expose?
- What test proves the change works?
- What rollback path exists if the output is wrong?
Section 6
Pair Ollama With The Right Agent Framework
Section 7
Pair Ollama With The Right Agent Framework
Ollama is the model server. You still need an agent harness like OpenCode, Continue, Cline, Aider, or OpenClaw to edit and run tools.
- 1Name the job before naming the tool.
- 2Write the smallest useful scope the agent can finish.
- 3Run the result as a user, not as a fan of the tool.
- 4Inspect the diff, data access, and failure path before sharing.
Use this as the working prompt or checklist for the lesson.
Test one IDE harness and one CLI harness against the same local model. Compare file edits, permission controls, context use, and recovery from errors.- What should the user be able to do when this is finished?
- What data should the app or agent never expose?
- What test proves the change works?
- What rollback path exists if the output is wrong?
Section 8
Local Privacy Is Not A Magic Shield
Section 9
Local Privacy Is Not A Magic Shield
Running Ollama locally reduces provider exposure, but prompts, logs, tools, and file permissions can still leak or damage data.
- 1Name the job before naming the tool.
- 2Write the smallest useful scope the agent can finish.
- 3Run the result as a user, not as a fan of the tool.
- 4Inspect the diff, data access, and failure path before sharing.
Use this as the working prompt or checklist for the lesson.
Audit your local setup: where prompts are logged, what folders the agent can read, what commands it can run, and whether secrets are excluded.- What should the user be able to do when this is finished?
- What data should the app or agent never expose?
- What test proves the change works?
- What rollback path exists if the output is wrong?
End-of-lesson quiz
Check what stuck
15 questions · Score saves to your progress.
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