feat(gpt-oss): MXFP4 deosc BF16 snapshots and simplified 20B recipe - #1070
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HuangWei-95 wants to merge 3 commits into
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feat(gpt-oss): MXFP4 deosc BF16 snapshots and simplified 20B recipe#1070HuangWei-95 wants to merge 3 commits into
HuangWei-95 wants to merge 3 commits into
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…y the 20B recipe Keep QKVO in BF16 via a TE precision config while grouped GEMM stays MXFP4, and align the GPT-OSS MLPerf example with the llama3.1 launcher instead of the v26.3/v26.5 runtime Dockerfiles. Co-authored-by: Cursor <cursoragent@cursor.com>
HuangWei-95
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Xiaoming-AMD,
limou102 and
wenxie-amd
as code owners
September 1, 2026 09:00
Keep the weight-deosc assignment on one line so code-lint black --line-length=110 passes. Co-authored-by: Cursor <cursoragent@cursor.com>
use_turbo_norm_te_linear wraps QKV so finish_init never reached the inner TE module; forward it and match linear_qkv.linear. Keep BF16 grouped GEMM off FlyDSL, which is only registered for MXFP4.
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Summary
run_with_docker.sh/config_MI355X_1x8x1.sh, and drop the v26.3/v26.5 runtime Dockerfiles, ASM override, and prewarm path.Test plan
tests/unit_tests/backends/megatron/test_weight_deosc.py(includes legacy fp32 snapshot load)gpt_oss_20B-MXFP4-deosc-mlperf-pretrain.yamlrun_with_docker.sh/config_MI355X_1x8x1.sh