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Commits on Mar 25, 2026
Complete API stability audit: all 33 findings resolved
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Commits on Mar 23, 2026
v0.4.0 prep: remove deprecated API, rewrite README with integration examples
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Fix version consistency across codebase
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Fix vLLM integration benchmark: point to main branch
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Commits on Mar 22, 2026
Fix benchmark files for numpy hidden states, add HF sanity benchmark
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Remove dead ridge/procrustes calibration code, add cross-model GGUF benchmark
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Add OllamaConnector, production-harden LlamaCppConnector
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Commits on Mar 21, 2026
debug: log answer start AND end
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debug: log chat template output
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test: steps=0 to confirm latent steps are the issue
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Test same-prompt continuation (no different solver prompt)
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Apply chat template in think() and generate() — critical fix
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test: steps=0 KV-reuse-only (no latent projection)
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debug: log answer length and tail
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Increase n_ctx to 4096, max_tokens to 2048 for llama.cpp GSM8K
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Increase max_tokens to 1024 for llama.cpp GSM8K benchmark
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Fix CUDA: preload libcudart.so.12 via ctypes before llama_cpp import
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Fix GPU: LD_LIBRARY_PATH to torch's bundled CUDA libs + debug logging
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Drop cb_eval, use embeddings=True + llama_get_embeddings_ith
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Diagnostic: test embeddings=True context + sampling (no cb_eval)
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Add diagnostic: low-level decode+greedy WITHOUT cb_eval
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Fix generation: skip prompt decode for same-prompt continuation,
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test: steps=0 same-prompt continuation diagnostic
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Add llama.cpp GSM8K benchmark with GPU/CPU auto-fallback
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Switch llama.cpp benchmark to CPU-only (CUDA wheel linking issues)
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Simplify CUDA setup: let torch provide CUDA runtime, then install CUDA wheel
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Add libgomp1 for OpenMP support in llama-cpp-python CUDA wheel
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Use CUDA runtime base image for libcudart.so
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Use pre-built CUDA wheel for llama-cpp-python (no compilation needed)
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Fix CUDA build: override CC/CXX to gcc (clang not in CUDA image)
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Use CUDA devel base image for llama-cpp-python GPU build
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Build llama-cpp-python with CUDA support on Modal
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Add GGUF weight extraction diagnostic to llama.cpp benchmark
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Add gguf to Modal benchmark image for embed weight extraction
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Fix remaining hidden_state → last_hidden_state in benchmark
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