ZacharyZcR
57706a0200
* feat: add experimental CUDA backend for resident tensors * feat: promote pinned experts to a bounded VRAM tier * feat: preload the GPU expert tier at startup * fix: harden CUDA backend failure handling * feat: add deterministic multi-GPU tensor placement * test: add deterministic CUDA benchmark fixture * perf: make routed experts the default CUDA path
38 lines
632 B
Plaintext
38 lines
632 B
Plaintext
# ambienti python / cache
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c/mio_env/
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__pycache__/
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**/__pycache__/
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*.pyc
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# binari compilati (si rigenerano con make / coli build)
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c/glm
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c/olmoe
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c/iobench
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c/tok_test
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c/backend_cuda.o
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c/backend_cuda_test
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# oracoli tiny generati (make_glm_oracle.py) e dati benchmark scaricati
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c/glm_tiny/
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c/glm_tiny_i2/
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c/glm_tiny_i4/
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c/glm_tiny_mix/
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c/glm_bench_medium/
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c/bench/
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# pesi modello / artefatti di run
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*.safetensors
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stats*.txt
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*.log
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# script di ricerca stadio-0 (esperimenti locali, non parte del motore)
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/engine.py
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/run.py
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/validate_ref.py
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/s0_costmodel.py
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/s1_trace_hitrate.py
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/s2_research.py
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/quant_test.py
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/profile_run.py
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/sweep.py
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