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Chenhan D. YuandClaude Opus 4.6
355c6b7883
## Summary - **megatron_lm_ptq.yaml**: Qwen3-8B PTQ to single GPU for L40 clusters (TP=1, all tasks) - **quantize.sh**: Auto-find largest PP dividing model's `num_hidden_layers` for export step. Qwen3-8B has 36 layers which isn't divisible by 8, causing `AssertionError` on 8-GPU nodes - **compute_hidden_states_trtllm.py**: Use `messages` with `conversations` fallback, matching the HF version. Fixes `KeyError: 'conversations'` when data uses OpenAI `messages` format ## Test plan - [x] Qwen3-8B PTQ runs on single L40 GPU - [x] Export PP auto-selects valid divisor (36 layers → PP=6 on 8 GPUs, PP=4 on 4 GPUs, PP=1 on 1 GPU) - [x] EAGLE3 offline pipeline reads data with `messages` field 🤖 Generated with [Claude Code](https://claude.com/claude-code) <!-- This is an auto-generated comment: release notes by coderabbit.ai --> ## Summary by CodeRabbit * **New Features** * Dataset input handling now supports multiple field formats for enhanced compatibility. * **Bug Fixes** * Optimized GPU resource allocation during model quantization with improved pipeline parallelism computation. * Updated quantization configuration for more efficient resource utilization. <!-- end of auto-generated comment: release notes by coderabbit.ai --> Signed-off-by: Chenhan Yu <chenhany@nvidia.com> Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>