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@mylesieong thank you very much |
michalharakal
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…entation Add flatten layer and tests
michalharakal
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Outlines the path to making KLlama the #1 choice for multiplatform LLM inference, competing with jlama while offering unique KMP capabilities. Key phases: - Performance: mmap loading, quantized kernels, SIMD, KV-cache - Developer Experience: Chat API, streaming Flow, templates, tools - Model Support: Mistral, Phi, Gemma, Qwen, MoE architectures - Platform Acceleration: Metal, WebGPU, NNAPI - Distribution: Maven Central, CocoaPods, npm, documentation Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
michalharakal
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Outlines the path to making KLlama the #1 choice for multiplatform LLM inference, competing with jlama while offering unique KMP capabilities. Key phases: - Performance: mmap loading, quantized kernels, SIMD, KV-cache - Developer Experience: Chat API, streaming Flow, templates, tools - Model Support: Mistral, Phi, Gemma, Qwen, MoE architectures - Platform Acceleration: Metal, WebGPU, NNAPI - Distribution: Maven Central, CocoaPods, npm, documentation Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
michalharakal
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Jan 18, 2026
Outlines the path to making KLlama the #1 choice for multiplatform LLM inference, competing with jlama while offering unique KMP capabilities. Key phases: - Performance: mmap loading, quantized kernels, SIMD, KV-cache - Developer Experience: Chat API, streaming Flow, templates, tools - Model Support: Mistral, Phi, Gemma, Qwen, MoE architectures - Platform Acceleration: Metal, WebGPU, NNAPI - Distribution: Maven Central, CocoaPods, npm, documentation Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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- Update competitive comparison table (quantized inference, SIMD: ✅) - Mark key gaps #1 and #2 as resolved - Update sections 1.3, 1.4, 1.5 with implementation details - Add Phase 1 Summary table - Update Q1 timeline with completed items Phase 1 "Performance Foundation" is now complete: - Memory-mapped GGUF loading (JVM) - BitNet/Ternary TQ1_0/TQ2_0 support - Q8_0/Q4_K quantized inference kernels - JVM Vector API SIMD kernels - Off-heap KV cache with platform abstractions Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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