Tooling
Running Claude Code Offline: Gemma4 Outperforms Qwen for Tool-Use Workflows
A developer tested local LLM alternatives to Claude Code using Ollama, finding that model choice dramatically affects tool-calling performance. Gemma4:26b achieved 70% parity with cloud Claude for offline coding tasks.
1 min read
Sourcer/claudeai
A developer has published a working setup for running Claude Code entirely offline using Ollama, revealing that model selection determines tool-use performance in local environments.
The workflow requires three steps: downloading a model locally via Ollama (~9 GB for 14B models, ~17 GB for 26B), co...
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Method & sources
- Source type
- Primary publication (lab/vendor blog) — our analysis + implication
- Source link
- r/claudeai
- Published
- UTC
- Updated
- UTC
- Byline
- By the gotcontext.ai team (editorial standards)
- Correction?
- corrections@gotcontext.ai