fix: f16 subnormal overflow + OpenChat 3.5 Q8_0 integration test Fix signed arithmetic overflow in f16_to_f32 for subnormal exponents. Add integration test that streams OpenChat 3.5 Q8_0 (7.7 GB) through the bgz17 indexer → 42.6 MB output (679× overall compression). Results: Attention 328×, FeedForward 920×, Embedding 3765×. Peak RAM: 524 MB. Time: 185s. 226 tensors indexed, 65 skipped. https://claude.ai/code/session_01Y69Vnw751w75iVSBRws7o7#47
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Reads GGUF tensor-by-tensor via seek, projects each weight matrix to Base17 via golden-step averaging, writes compressed output. Peak RAM = one tensor + buffers, regardless of model size. Supports: Attention, FFN, Conv2D, Embedding layer classification. Conv2D [out_ch, in_ch, kH, kW] reshaped to out_ch vectors of kernel_dim. 14 tests: classification, projection, reshape, end-to-end synthetic GGUF. https://claude.ai/code/session_01Y69Vnw751w75iVSBRws7o7
Fix signed arithmetic overflow in f16_to_f32 for subnormal exponents. Add integration test that streams OpenChat 3.5 Q8_0 (7.7 GB) through the bgz17 indexer → 42.6 MB output (679× overall compression). Results: Attention 328×, FeedForward 920×, Embedding 3765×. Peak RAM: 524 MB. Time: 185s. 226 tensors indexed, 65 skipped. https://claude.ai/code/session_01Y69Vnw751w75iVSBRws7o7
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