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Commits on Jun 4, 2026

• Add the Gemma text architecture (#53)

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• Add exact GELU op to mlxgo (#52)

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• Add GELU and scalar elementwise ops to mlxgo (#51)

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• Render chat prompts per model family (#50)

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• Add log-mel spectrogram feature extraction (#49)

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• Decode and resample WAV audio for speech input (#48)

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• Parse input_audio message content (#47)

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• Cut preprocessed images into a patch sequence (#46)

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• Cache vision embeddings by image content (#45)

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• Add image preprocessing for the vision path (#44)

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• Parse multimodal message content instead of dropping images (#43)

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• Persist the prefix cache across restarts (#42)

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• Add TurboQuant value-cache compression (#41)

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• Add Qwen2 and Qwen2.5 architecture (#40)

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• Correct the decode-gap note with the measured compile result (#39)

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• Add an on-device batched decode throughput benchmark (#38)

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• Bind MLX graph compilation in mlxgo (#37)

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Commits on Jun 3, 2026

• Add Llama and Mistral architectures (#36)

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• Add a serving-layer status endpoint (#35)

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• Add streaming request cancellation (#34)

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• Add a retrieve-model endpoint (#33)

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• Add an OpenAI-compatible embeddings endpoint (#32)

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• Add agent profiles and a gomlx agents command (#31)

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• Wire the MCP subsystem into the serving layer (#30)

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• Reach MCP servers over an HTTP server-sent-events stream (#29)

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• Run a model's tool calls through an executor (#28)

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• Manage the MCP servers behind one manager (#27)

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• Reach MCP servers that run as a subprocess over stdio (#26)

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• Speak the MCP protocol over a session (#25)

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• Add the JSON-RPC connection layer for MCP (#24)

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• Pool MCP tools and convert them to OpenAI format (#23)

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• Add MCP config and tool-call security gate (#22)

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• Add a cloud router for large-context requests (#21)

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• Add suffix-decoding draft proposer (#20)

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• Add prompt-lookup draft proposer for speculative decoding (#19)

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