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1. Commits on Jul 26, 2026

   • Update query in README for object segmentation

     smellslikeml

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   • fix: 5-iteration seg-inject workaround + drift-investigation tooling (#4)

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2. Commits on Jul 25, 2026

   • Remove contributing guidelines from README

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3. Commits on Jul 24, 2026

   • docs: rewrite README for InstructSAM + refresh Dockerfile refs (#3)

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   • docs: prune stale planning + progress-log notes (#2)

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   • Merge pull request #1 from smellslikeml/rename/instructsam-binary

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   • rename: sam3-instructsam-cli → instructsam

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   • docker: add llama-quantize target + force F16 token_embd during Q4_K_M

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   • docker: extract config rewrite into its own script

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   • feat(docker): CPU-only Dockerfile that converts InstructSAM at build time

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   • feat(cli): real cls_score via Sam3DotProductScoring — argmax over pred_logits

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   • fix(cli): delegate LM stage to libmtmd — correct M-RoPE positions

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   • feat(cli): --query unification + PNG overlay panel output

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   • fix(cli): auto-build --query from --phrases so the LM sees the right task

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   • fix(cli): create --out-dir if missing + defensive --generate im_end skip

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   • fix(cli): trim phrase whitespace + skip parity check when refs missing

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   • fix(viz): visualize_e2e_masks.py accepts --image/--phrases/--out — un-hardcode warehouse

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   • fix(cli): tokenize phrases via llama.cpp — drop the 4-phrase hardcoded map

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   • perf(sam3-vision): F16 matmul weight loads via cpu_linear F16 overload

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   • perf(sam3-vision): flash_attn_ext for all attention — trunk 183s → 64s (2.9×)

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   • perf(sam3-vision): FPN neck native via ggml_conv_2d_direct — 188s → 3.9s (48×)

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   • perf(sam3-vision): ggml_mul_mat + OMP everywhere — trunk 20 min → 3.9 min (5.1×)

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   • perf(instructsam-lm): accept Q4_K/Q6_K/any ggml_type weights — 2.3× smaller model

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   • perf(instructsam-lm): F16 weight tensors — ~3× on per-token decode

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   • perf(instructsam-lm): rewrite cpu_linear via ggml_mul_mat — 5.4× on prefill

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   • perf(instructsam-lm): cache token_embd table + parallel logits GEMV

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   • perf(instructsam-lm): OpenMP on cpu_rms_norm — small extra win on norms

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   • perf(instructsam-lm): OpenMP + -march=native — ~3-4× LM forward speedup

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   • feat(instructsam): free-form phrase generation — LM AR loop + --generate CLI mode

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   • feat(instructsam): compute detr constants natively — zero per-object ref loads

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   • feat(instructsam): port text_features via text_hidden_fcs — kills per-object detr cache dep

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   • feat(instructsam): KV cache in LM forward — makes --run-lm practical

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   • feat(instructsam): Days 8-9 — runnable end-to-end CLI (image + phrases → masks)

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   • feat(instructsam): Qwen3 fork Day 7 — full-native E2E binary

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   • feat(instructsam): Qwen3 fork Day 6 — mask_queries injection works 10/10 slots

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