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Occamy-1.0 · APEX GGUF Three plain profiles · four calibrated profiles, including Mini Collection · Checkpoint explorer · Project · Paper Occamy-1.0 quantized with the LocalAI team's APEX profiles. APEX allocates GGUF precision by tensor role and layer position: routed experts, shared experts and attention receive different allocations. The three plain profiles and four calibrated `I-` profiles use the pinned upstream 40-layer configurations. Every file is generated directly from the same BF16 source. The calibrated group adds I-Compact, I-Quality, I-Balanced and I-Mini. Profile names describe allocation strategies; file size does not follow the name order. These are weight-file sizes, not peak memory requirements. Allow additional memory for the runtime, context and image input.

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occamy-1.0-FP8

Accio-Lab

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occamy-1.0-GGUF

Accio-Lab

Occamy-1.0 · GGUF 17 quantizations · llama.cpp · optional vision projector Model collection · Checkpoint explorer · Project · Paper GGUF quantizations of Accio-Lab/occamy-1.0. **Q3_K_S, Q5_K_S, Q3_K_L, Q4_0 and Q5_0** are direct BF16 conversions with standard recipes and no importance matrix. The earlier ten additions used calibration importance matrices; Q4_K_M and Q8_0 retain their historical recipes. Labels describe mixed precision rather than uniform bits for every tensor. Previously published weights and evidence are preserved. Separate APEX GGUF profiles provide seven additional MoE mixed-precision allocations: three plain profiles and four calibrated I profiles, including Mini. Compare all 24 GGUF options in the checkpoint explorer.

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occamy-1.0-MLX-3bit

Accio-Lab

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occamy-1.0-MLX-4bit

Accio-Lab

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occamy-1.0-MLX-6bit

Accio-Lab

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occamy-1.0-MLX-nvfp4

Accio-Lab

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occamy-1.0-NVFP4

Accio-Lab

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