Ollama

What's Changed

• MLX safetensors ollama create no longer experimental. GGUF model creation now requires using llama.cpp tooling for safetensor conversion and quantization.
• Improved MLX memory handling on Apple Silicon
• Runaway repeat token detection now requires 100 repeat tokens for reduced false positives (e.g. OCR)
• /api/tags is much faster on large model libraries (3.1 s → 294 ms cold in testing), and model capabilities are now reported consistently.
• Deprecated typical_p: it can no longer be set when creating new models, existing GGUF models retain support.
• MLX and llama.cpp updates

Full Changelog: https://github.com/ollama/ollama/compare/v0.34.0...v0.34.1-rc1