Commits on Apr 6, 2026

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2. feat: add semantic memory injection research and layer capture/skip C…

   … API extensions
   
   - Add copilot instructions for development workflow and architecture overview
   - Document semantic memory injection methodology and K/V injection findings
   - Add synthetic token architecture brainstorm and KV pruning specifications
   - Implement layer capture/skip C API extensions (llama_set_layer_capture, llama_set_layer_skip, llama_get_embeddings_layer_ith, etc.)
   - Add activation analysis and KV injection/compression/merge experiment scripts
   - Reorganize original docs into docs/Original_repo/ subdirectory
   - Update .gitignore for generated artifacts and analysis outputs
   - Extend llama_cpp.py with new ctypes bindings for layer manipulation
   - Extend _internals.py and llama.py with high-level Python APIs for layer operations

   

   Configuration menu

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3. Configuration menu

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4. Configuration menu

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6. ci: fix release tag_name for manual dispatch

   softprops/action-gh-release requires an explicit tag_name when triggered
   via workflow_dispatch (github.ref is refs/heads/main, not a tag).
   Generate tag from wheel version + short SHA for manual runs.

   

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7. docs: add qwen3-vl hacking guide and penultimate layer extraction

   - Add comprehensive hacking guide for llama.cpp qwen3-vl model modifications
   - Add penultimate hidden states PR with patch for transformer layer capture
   - Add activation steering script for semantic memory research
   - Add KV fragment testing utilities
   - Add GGUF dequantization test harness
   - Update per-layer embeddings results
   - Add steering delta coefficients for layer injection

   

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8. Configuration menu

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