f86fc6860d
One HF 504 killed the whole bench. Now: load_dataset retries with exponential backoff (hf_hub resumes partial downloads from cache); a task that still fails is skipped instead of killing the rest; JSONLs are written atomically (coli only checks existence, so a truncated file from an interrupted run would block re-download forever); coli bench drops still-missing tasks with a warning and refuses to run eval with none. Co-Authored-By: Claude <noreply@anthropic.com>
Tools
These scripts support model preparation and offline engineering work. They are not runtime dependencies of the C engine.
convert_fp8_to_int4.py,download_glm52.py: model preparationmake_glm_oracle.py,make_glm_bench_model.py: deterministic fixturesbenchmark_cuda_fixture.py,eval_glm.py,fetch_benchmarks.py: benchmarksgen_unicode.py: tokenizer table generation
Run them from c/, for example:
python3 tools/convert_fp8_to_int4.py --selftest
python3 tools/make_glm_bench_model.py --output /tmp/colibri-bench