v0.34.1

Summary

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 : v0.34.0...v0.34.1-rc1

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