From 974462251389f66f9acab33771a25ac787a63e16 Mon Sep 17 00:00:00 2001 From: Chen Cui Date: Thu, 29 Jan 2026 17:33:42 -0800 Subject: [PATCH 1/8] add MTP guide Signed-off-by: Chen Cui --- docs/index.md | 1 + docs/training/multi-token-prediction.md | 309 ++++++++++++++++++++++++ 2 files changed, 310 insertions(+) create mode 100644 docs/training/multi-token-prediction.md diff --git a/docs/index.md b/docs/index.md index 33fd0e6d5b..dedfda2417 100644 --- a/docs/index.md +++ b/docs/index.md @@ -49,6 +49,7 @@ training/activation-recomputation.md training/cpu-offloading.md training/peft.md training/packed-sequences.md +training/multi-token-prediction.md training/distillation.md ``` diff --git a/docs/training/multi-token-prediction.md b/docs/training/multi-token-prediction.md new file mode 100644 index 0000000000..3679516513 --- /dev/null +++ b/docs/training/multi-token-prediction.md @@ -0,0 +1,309 @@ +# Multi-Token Prediction (MTP) + +## Overview + +Multi-Token Prediction (MTP) is an advanced training technique introduced in the [DeepSeek-V3 Technical Report](https://arxiv.org/abs/2412.19437) that enables models to predict multiple future tokens simultaneously during pre-training. Instead of learning to predict only the next token at each position, MTP adds auxiliary prediction heads that predict tokens 2, 3, or more positions ahead. + +### Key Benefits + +- **Densified Training Signals**: Multiple learning signals per training iteration improve data efficiency +- **Pre-Planning Representations**: Models learn internal representations that encode information about future tokens +- **Speculative Decoding Foundation**: MTP-trained models can serve as foundation for faster inference via speculative decoding + +### When to Use MTP + +MTP is most beneficial for: + +- **Large-scale pre-training** (models > 10B parameters) +- **Data-constrained scenarios** where maximizing learning from limited data is critical +- **Training foundation models** intended for downstream fine-tuning or speculative decoding + +MTP is primarily used for pre-training. + +### Additional Resources + +- [DeepSeek-V3 Technical Report](https://arxiv.org/abs/2412.19437) - Original paper introducing MTP +- [DeepSeek-V3 GitHub](https://github.com/deepseek-ai/DeepSeek-V3) - Official implementation +- [Megatron Core MTP API Guide](../3rdparty/Megatron-LM/docs/source/api-guide/multi_token_prediction.md) - Low-level implementation details + +## Configuration Parameters + +MTP is controlled by two primary parameters: + +| Parameter | Type | Default | Description | Typical Range | +|-----------|------|---------|-------------|---------------| +| `mtp_num_layers` | int | `None` (disabled) | Number of auxiliary prediction depths. Each layer predicts tokens N positions ahead (N=1,2,...,mtp_num_layers). | 1-2 | +| `mtp_loss_scaling_factor` | float | `0.1` | Weight applied to MTP losses relative to main next-token loss. Controls the contribution of auxiliary predictions to the total loss. | 0.05-0.2 | + +### Loss Calculation + +The total training loss combines the main next-token prediction loss with averaged MTP losses: + +``` +total_loss = main_loss + (avg_mtp_loss * mtp_loss_scaling_factor) + +where: + avg_mtp_loss = mean([mtp_1_loss, mtp_2_loss, ..., mtp_N_loss]) +``` + +### Parameter Tuning Guidelines + +**`mtp_num_layers`:** +- Start with `1` for most models (predicts 1 token ahead) +- Use `2` for models > 100B parameters if memory allows +- Higher values increase memory usage and training time proportionally + +**`mtp_loss_scaling_factor`:** +- Default `0.1` works well for most models +- Increase to `0.15-0.2` if MTP losses aren't decreasing +- Decrease to `0.05-0.08` if main loss is being overshadowed +- Scale factor should be proportional to `mtp_num_layers` (more layers → lower factor) + +## Basic Usage: Training from Scratch + +### Minimal Configuration Example + +Here's a minimal example using the Qwen3-Next recipe with MTP enabled: + +```python +from megatron.bridge.recipes.qwen import qwen3_next_80b_a3b_pretrain_config +from megatron.bridge.training.pretrain import pretrain + +config = qwen3_next_80b_a3b_pretrain_config( + name="qwen3_next_mtp_test", + data_paths=["/path/to/data.nvjsonl"], + + # MTP Configuration + mtp_num_layers=1, + mtp_loss_scaling_factor=0.1, +) + +pretrain(config) +``` + +### Command-Line Launch Example + +You can also launch training using the `run_recipe.py` script with command-line arguments: + +```bash +torchrun --nproc-per-node=8 scripts/training/run_recipe.py \ + --recipe qwen3_next_80b_a3b_pretrain_config \ + --name qwen3_next_mtp \ + --data_paths /path/to/data.nvjsonl \ + --mtp_num_layers 1 \ + --mtp_loss_scaling_factor 0.1 +``` + +## MTP with Pipeline Parallelism + +When using Pipeline Parallelism (PP), **MTP layers must be placed in the last pipeline stage** alongside the loss computation layer. Configure this using custom pipeline layout settings (`pipeline_model_parallel_split_rank`). + +### Pipeline Layout Guidelines + +MTP layers take approximately the same training time as a regular transformer layer. When configuring your pipeline layout: + +- **Place MTP in the last PP stage** (required for correct loss computation) +- **Reduce layers in other PP ranks** to balance computation time across stages +- Example: For a 60-layer model with PP=4 and `mtp_num_layers=1`, you might use splits like `[15, 30, 45, 60]` instead of `[15, 30, 46, 60]` to account for MTP overhead in the last stage + +### Verifying MTP Placement + +During training, you'll see log messages confirming MTP placement: + +``` +[Rank 15] Building model pipeline stage 16/16 +[Rank 15] Building Multi-Token Prediction layers: 1 depth(s) +``` + +On other pipeline stages, you'll see (this is expected): + +``` +[Rank 5] MTP layers not found on this PP rank (expected on last stage only) +``` + +## Parallelism Support + +MTP is compatible with all major parallelism strategies in Megatron-Bridge: + +| Parallelism Type | Support Status | Notes | +|------------------|----------------|-------| +| **Tensor Parallelism (TP)** | ✅ Fully Supported | MTP layers are automatically sharded across TP ranks | +| **Pipeline Parallelism (PP)** | ✅ Supported with Constraint | MTP must be in last pipeline stage (see above) | +| **Expert Parallelism (EP)** | ✅ Fully Supported | Works with MoE models (DeepSeek-V3, Mixtral, etc.) | +| **Context Parallelism (CP)** | ✅ Fully Supported | MTP supports long-context training via CP | +| **Data Parallelism (DP)** | ✅ Fully Supported | Standard data parallelism works transparently | + +## Monitoring MTP Training + +### Per-Layer Loss Logging + +During training, you'll see losses for each MTP depth logged separately: + +``` +iteration: 100/100000 | consumed samples: 51200 | elapsed time per iteration (ms): 1247.3 +loss: 3.245 | mtp_1 loss: 3.512 | learning rate: 1.500E-04 | grad norm: 0.847 +``` + +For models with `mtp_num_layers=2`: + +``` +iteration: 100/100000 | consumed samples: 51200 | elapsed time per iteration (ms): 1389.7 +loss: 3.245 | mtp_1 loss: 3.512 | mtp_2 loss: 3.689 | learning rate: 1.500E-04 | grad norm: 0.847 +``` + +### Interpreting Loss Values + +**Expected Patterns:** + +- **MTP losses are higher than main loss**: Predicting tokens further in the future is harder + - Main loss: 3.245 + - MTP 1 loss: 3.512 (+0.267) + - MTP 2 loss: 3.689 (+0.444) + +- **All losses decrease over training**: Both main and MTP losses should trend downward + +- **Loss gap remains relatively stable**: The difference between main and MTP losses should not grow significantly + +**Red Flags:** + +- **NaN values**: Indicates training instability (see Troubleshooting section) +- **Diverging losses**: If MTP losses increase while main loss decreases, reduce `mtp_loss_scaling_factor` +- **Widening gap**: If MTP losses fall behind by > 1.0, increase `mtp_loss_scaling_factor` + +### TensorBoard Visualization + +MTP losses are automatically logged to TensorBoard and/or WandB. Look for: + +- `train/loss` - Main next-token prediction loss +- `train/mtp_1_loss` - First auxiliary prediction loss +- `train/mtp_2_loss` - Second auxiliary prediction loss (if `mtp_num_layers=2`) +- `train/total_loss` - Combined loss (main + weighted MTP average) + + +## Training Curves & Expected Results + +**[NOTE: Training curves will be added after running experiments]** +## TODO +This section will include visual comparisons of: + +- MTP enabled vs. disabled training runs +- Main loss, MTP 1 loss, and MTP 2 loss trajectories over iterations +- Convergence behavior differences + +### Expected Patterns + +**Loss Curves:** + +- MTP losses are typically higher than main loss (predicting future tokens is harder) +- All losses should decrease over training +- The gap between main loss and MTP losses generally remains stable + +**Training Characteristics:** + +- MTP adds computational overhead due to additional forward passes +- Memory usage increases proportionally to `mtp_num_layers` +- MTP is designed to improve data efficiency during pre-training + +**Model Performance:** + +- MTP provides additional training signals at each token position +- Can potentially improve downstream task performance +- MTP-trained models can be used for speculative decoding during inference + +## Current Limitations + +The following features are not yet supported with MTP: + +| Feature | Status | Workaround | +|---------|--------|------------| +| **HuggingFace ↔ Megatron Checkpoint Conversion** | ⚠️ Model-specific | Conversion support varies by model; check model-specific documentation | +| **Sequence Packing (Fine-Tuning)** | ❌ Not supported | For pre-training, no issues. For fine-tuning, set `packed_sequence_specs=None` | +| **Cross-Attention** | ❌ Not supported | MTP only works with decoder-only models (GPT, Llama, etc.) | +| **Learned Absolute Position Embeddings** | ❌ Not supported | Use RoPE (rotary position embeddings) or no position embeddings | +| **Block-Based Activation Recomputation** | ❌ Not supported | Use `recompute_granularity="selective"` or `"uniform"` | + +### Important Notes + +**Checkpoint Conversion:** + +HuggingFace ↔ Megatron checkpoint conversion with MTP is model-specific. Some models have conversion support planned, while others may not support MTP parameter mapping. Check the documentation for your specific model. + +**Sequence Packing:** + +MTP is incompatible with fine-tuning sequence packing (e.g., SFT with packed sequences). For pre-training, there are no sequence packing restrictions. + +## Troubleshooting Guide + +### Error: Out of Memory (OOM) + +MTP increases memory usage proportionally to `mtp_num_layers`. Try: +- Reduce `mtp_num_layers` to 1 +- Enable activation recomputation: `recompute_granularity="selective"` +- Increase pipeline parallelism +- Reduce micro batch size + +### Error: MTP Loss is NaN + +Training instability. Try: +- Lower learning rate +- Enable gradient clipping: `clip_grad=1.0` +- Use BF16 instead of FP16 +- Reduce `mtp_loss_scaling_factor` to 0.05 + +### Expected Log: `MTP layers not found on this PP rank` + +This is normal. Only the last pipeline stage builds MTP layers. + +## Additional Resources + +### Code Examples + +- **DeepSeek-V3 Recipe**: [`src/megatron/bridge/recipes/deepseek/deepseek_v3.py`](/Users/chcui/PycharmProjects/Megatron-Bridge/src/megatron/bridge/recipes/deepseek/deepseek_v3.py) + - Example of MTP with large-scale MoE model + - Predefined pipeline layouts for PP + MTP + +- **Qwen3-Next Recipe**: [`src/megatron/bridge/recipes/qwen/qwen3_next.py`](/Users/chcui/PycharmProjects/Megatron-Bridge/src/megatron/bridge/recipes/qwen/qwen3_next.py) + - Clean example of MTP configuration for dense models + - Good starting point for custom recipes + +- **MTP Core Implementation**: [`3rdparty/Megatron-LM/megatron/core/transformer/multi_token_prediction.py`](/Users/chcui/PycharmProjects/Megatron-Bridge/3rdparty/Megatron-LM/megatron/core/transformer/multi_token_prediction.py) + - Low-level MTP layer implementation + - Loss computation and logging helpers + +### Documentation + +- **Megatron Core MTP API Guide**: [`3rdparty/Megatron-LM/docs/source/api-guide/multi_token_prediction.md`](/Users/chcui/PycharmProjects/Megatron-Bridge/3rdparty/Megatron-LM/docs/source/api-guide/multi_token_prediction.md) + - Detailed API documentation + - Implementation notes and design decisions + +- **Pipeline Parallelism Guide**: [`docs/parallelisms.md`](/Users/chcui/PycharmProjects/Megatron-Bridge/docs/parallelisms.md) + - Understanding pipeline parallelism layouts + - Best practices for PP configuration + +### External Resources + +- **DeepSeek-V3 Technical Report**: [https://arxiv.org/abs/2412.19437](https://arxiv.org/abs/2412.19437) + - Original paper introducing MTP + - Section 3.2: "Multi-Token Prediction" + - Training details and ablation studies + +- **DeepSeek-V3 GitHub**: [https://github.com/deepseek-ai/DeepSeek-V3](https://github.com/deepseek-ai/DeepSeek-V3) + - Official implementation and model weights + - Training configurations and hyperparameters + +- **Megatron-LM GitHub**: [https://github.com/NVIDIA/Megatron-LM](https://github.com/NVIDIA/Megatron-LM) + - Upstream Megatron-Core implementation + - Issues and discussions + +### Getting Help + +If you encounter issues not covered in this guide: + +1. Check the [Megatron-Bridge GitHub Issues](https://github.com/NVIDIA/Megatron-Bridge/issues) +2. Review the [Megatron-LM Discussions](https://github.com/NVIDIA/Megatron-LM/discussions) + +When reporting issues, include: +- Full training configuration (recipe and parameters) +- Error messages and stack traces +- GPU type and count +- Megatron-Core version (`pip show megatron-core`) From acb3d68608118f8d775bf24d12b9e3cc8184facb Mon Sep 17 00:00:00 2001 From: Chen Cui Date: Mon, 2 Feb 2026 09:39:14 -0800 Subject: [PATCH 2/8] update with training plots Signed-off-by: Chen Cui --- docs/images/mtp_loss.png | Bin 0 -> 57025 bytes docs/images/mtp_loss_comparison.png | Bin 0 -> 90171 bytes docs/training/multi-token-prediction.md | 102 +++++++----------------- 3 files changed, 31 insertions(+), 71 deletions(-) create mode 100644 docs/images/mtp_loss.png create mode 100644 docs/images/mtp_loss_comparison.png diff --git a/docs/images/mtp_loss.png b/docs/images/mtp_loss.png new file mode 100644 index 0000000000000000000000000000000000000000..bcbae1aa3cbeb65c47650f1e80aa6ab36dad32ff GIT binary 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Qwen3 30B-A3B recipe with MTP enabled: ```python -from megatron.bridge.recipes.qwen import qwen3_next_80b_a3b_pretrain_config +from megatron.bridge.recipes.qwen import qwen3_30b_a3b_pretrain from megatron.bridge.training.pretrain import pretrain -config = qwen3_next_80b_a3b_pretrain_config( +config = qwen3_30b_a3b_pretrain( name="qwen3_next_mtp_test", - data_paths=["/path/to/data.nvjsonl"], - - # MTP Configuration - mtp_num_layers=1, - mtp_loss_scaling_factor=0.1, + data_paths=[ + f"/path/to/dclm/preprocessed/dclm_{i:02d}_text_document" + for i in range(1, 11) + ], ) +# Optionally set cache dir +config.dataset.path_to_cache = "/path/to/cacahe +# MTP Configuration +config.mtp_num_layers = 1, +config.mtp_loss_scaling_factor = 0.1, pretrain(config) ``` +Follow the [DCLM Tutorial](https://github.com/NVIDIA-NeMo/Megatron-Bridge/tree/main/tutorials/data/dclm) to prepare the training data -### Command-Line Launch Example - -You can also launch training using the `run_recipe.py` script with command-line arguments: - -```bash -torchrun --nproc-per-node=8 scripts/training/run_recipe.py \ - --recipe qwen3_next_80b_a3b_pretrain_config \ - --name qwen3_next_mtp \ - --data_paths /path/to/data.nvjsonl \ - --mtp_num_layers 1 \ - --mtp_loss_scaling_factor 0.1 -``` ## MTP with Pipeline Parallelism @@ -106,20 +99,6 @@ MTP layers take approximately the same training time as a regular transformer la - **Reduce layers in other PP ranks** to balance computation time across stages - Example: For a 60-layer model with PP=4 and `mtp_num_layers=1`, you might use splits like `[15, 30, 45, 60]` instead of `[15, 30, 46, 60]` to account for MTP overhead in the last stage -### Verifying MTP Placement - -During training, you'll see log messages confirming MTP placement: - -``` -[Rank 15] Building model pipeline stage 16/16 -[Rank 15] Building Multi-Token Prediction layers: 1 depth(s) -``` - -On other pipeline stages, you'll see (this is expected): - -``` -[Rank 5] MTP layers not found on this PP rank (expected on last stage only) -``` ## Parallelism Support @@ -140,29 +119,24 @@ MTP is compatible with all major parallelism strategies in Megatron-Bridge: During training, you'll see losses for each MTP depth logged separately: ``` -iteration: 100/100000 | consumed samples: 51200 | elapsed time per iteration (ms): 1247.3 -loss: 3.245 | mtp_1 loss: 3.512 | learning rate: 1.500E-04 | grad norm: 0.847 +iteration 100/ 300000 | consumed samples: 3200 | elapsed time per iteration (ms): 3738.6 | learning rate: 6.000000E-05 | global batch size: 32 | lm loss: 7.968678E+00 | load_balancing_loss: 1.329517E+00 | mtp_1 loss: 7.925096E+00 | loss scale: 1.0 | grad norm: 1.040 | number of skipped iterations: 0 | number of nan iterations: 0 | ``` -For models with `mtp_num_layers=2`: +### Interpreting Loss Values -``` -iteration: 100/100000 | consumed samples: 51200 | elapsed time per iteration (ms): 1389.7 -loss: 3.245 | mtp_1 loss: 3.512 | mtp_2 loss: 3.689 | learning rate: 1.500E-04 | grad norm: 0.847 -``` +![MTP Loss Curves](../images/mtp_loss.png) -### Interpreting Loss Values +The figure above shows typical training curves for MTP-enabled training: +- **Left**: MTP auxiliary loss (`mtp_1 loss`) tracking the first additional token prediction +- **Right**: Main language model loss (`lm loss`) for standard next-token prediction **Expected Patterns:** -- **MTP losses are higher than main loss**: Predicting tokens further in the future is harder - - Main loss: 3.245 - - MTP 1 loss: 3.512 (+0.267) - - MTP 2 loss: 3.689 (+0.444) +- **MTP losses are higher than main loss**: Predicting tokens further in the future is inherently harder. In the example above, `mtp_1 loss` (~4.3) is higher than `lm loss` (~3.9) at 3500 iterations. -- **All losses decrease over training**: Both main and MTP losses should trend downward +- **All losses decrease over training**: Both main and MTP losses should trend downward, as shown in the curves above. -- **Loss gap remains relatively stable**: The difference between main and MTP losses should not grow significantly +- **Loss gap remains relatively stable**: The difference between main and MTP losses should not grow significantly over training. **Red Flags:** @@ -170,35 +144,21 @@ loss: 3.245 | mtp_1 loss: 3.512 | mtp_2 loss: 3.689 | learning rate: 1.500E-04 | - **Diverging losses**: If MTP losses increase while main loss decreases, reduce `mtp_loss_scaling_factor` - **Widening gap**: If MTP losses fall behind by > 1.0, increase `mtp_loss_scaling_factor` -### TensorBoard Visualization +**MTP vs Non-MTP Comparison:** -MTP losses are automatically logged to TensorBoard and/or WandB. Look for: +![MTP Loss Comparison](../images/mtp_loss_comparison.png) -- `train/loss` - Main next-token prediction loss -- `train/mtp_1_loss` - First auxiliary prediction loss -- `train/mtp_2_loss` - Second auxiliary prediction loss (if `mtp_num_layers=2`) -- `train/total_loss` - Combined loss (main + weighted MTP average) +The figure above compares `lm loss` between MTP-enabled (blue) and non-MTP (red) training runs on Qwen3-30B-A3B. The curves do not differ significantly in the first few thousand iterations. Notably, the MTP-enabled run shows smoother behavior around iterations 1000 and 2300, where the non-MTP run exhibits more pronounced spikes. +### TensorBoard/WandB Visualization -## Training Curves & Expected Results - -**[NOTE: Training curves will be added after running experiments]** -## TODO -This section will include visual comparisons of: - -- MTP enabled vs. disabled training runs -- Main loss, MTP 1 loss, and MTP 2 loss trajectories over iterations -- Convergence behavior differences - -### Expected Patterns - -**Loss Curves:** +MTP losses are automatically logged to TensorBoard and/or WandB. Look for: -- MTP losses are typically higher than main loss (predicting future tokens is harder) -- All losses should decrease over training -- The gap between main loss and MTP losses generally remains stable +- `lm loss` - Main next-token prediction loss +- `mtp_1 loss` - First auxiliary prediction loss +- `mtp_2 loss` - Second auxiliary prediction loss (if `mtp_num_layers=2`) -**Training Characteristics:** +### Training Characteristics - MTP adds computational overhead due to additional forward passes - Memory usage increases proportionally to `mtp_num_layers` From db376e18fd3be321b4d058463ccd474910c9449f Mon Sep 17 00:00:00 2001 From: Chen Cui Date: Mon, 2 Feb 2026 11:09:59 -0800 Subject: [PATCH 3/8] fix typo Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com> Signed-off-by: Chen Cui --- docs/training/multi-token-prediction.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/training/multi-token-prediction.md b/docs/training/multi-token-prediction.md index 9726d2a6db..d914474399 100644 --- a/docs/training/multi-token-prediction.md +++ b/docs/training/multi-token-prediction.md @@ -77,7 +77,7 @@ config = qwen3_30b_a3b_pretrain( ], ) # Optionally set cache dir -config.dataset.path_to_cache = "/path/to/cacahe +config.dataset.path_to_cache = "/path/to/cache" # MTP Configuration config.mtp_num_layers = 1, config.mtp_loss_scaling_factor = 0.1, From e3d70f49e7ad30b2b6dfc5403895fecbb755d2dc Mon Sep 17 00:00:00 2001 From: Chen Cui Date: Mon, 2 Feb 2026 11:10:20 -0800 Subject: [PATCH 4/8] fix typo Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com> Signed-off-by: Chen Cui --- docs/training/multi-token-prediction.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/training/multi-token-prediction.md b/docs/training/multi-token-prediction.md index d914474399..e63ca4ac06 100644 --- a/docs/training/multi-token-prediction.md +++ b/docs/training/multi-token-prediction.md @@ -79,8 +79,8 @@ config = qwen3_30b_a3b_pretrain( # Optionally set cache dir config.dataset.path_to_cache = "/path/to/cache" # MTP Configuration -config.mtp_num_layers = 1, -config.mtp_loss_scaling_factor = 0.1, +config.mtp_num_layers = 1 +config.mtp_loss_scaling_factor = 0.1 pretrain(config) ``` From b2d57d402daaffc2f513cfa8f5c3cbcbe0e120b8 Mon Sep 17 00:00:00 2001 From: Chen Cui Date: Mon, 2 Feb 2026 11:21:30 -0800 Subject: [PATCH 5/8] fix paths Signed-off-by: Chen Cui --- docs/training/multi-token-prediction.md | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/docs/training/multi-token-prediction.md b/docs/training/multi-token-prediction.md index 9726d2a6db..7e3b8981ba 100644 --- a/docs/training/multi-token-prediction.md +++ b/docs/training/multi-token-prediction.md @@ -218,25 +218,25 @@ This is normal. Only the last pipeline stage builds MTP layers. ### Code Examples -- **DeepSeek-V3 Recipe**: [`src/megatron/bridge/recipes/deepseek/deepseek_v3.py`](/Users/chcui/PycharmProjects/Megatron-Bridge/src/megatron/bridge/recipes/deepseek/deepseek_v3.py) +- **DeepSeek-V3 Recipe**: [`src/megatron/bridge/recipes/deepseek/deepseek_v3.py`](../../src/megatron/bridge/recipes/deepseek/deepseek_v3.py) - Example of MTP with large-scale MoE model - Predefined pipeline layouts for PP + MTP -- **Qwen3-Next Recipe**: [`src/megatron/bridge/recipes/qwen/qwen3_next.py`](/Users/chcui/PycharmProjects/Megatron-Bridge/src/megatron/bridge/recipes/qwen/qwen3_next.py) +- **Qwen3-Next Recipe**: [`src/megatron/bridge/recipes/qwen/qwen3_next.py`](../../src/megatron/bridge/recipes/qwen/qwen3_next.py) - Clean example of MTP configuration for dense models - Good starting point for custom recipes -- **MTP Core Implementation**: [`3rdparty/Megatron-LM/megatron/core/transformer/multi_token_prediction.py`](/Users/chcui/PycharmProjects/Megatron-Bridge/3rdparty/Megatron-LM/megatron/core/transformer/multi_token_prediction.py) +- **MTP Core Implementation**: [`3rdparty/Megatron-LM/megatron/core/transformer/multi_token_prediction.py`](../../3rdparty/Megatron-LM/megatron/core/transformer/multi_token_prediction.py) - Low-level MTP layer implementation - Loss computation and logging helpers ### Documentation -- **Megatron Core MTP API Guide**: [`3rdparty/Megatron-LM/docs/source/api-guide/multi_token_prediction.md`](/Users/chcui/PycharmProjects/Megatron-Bridge/3rdparty/Megatron-LM/docs/source/api-guide/multi_token_prediction.md) +- **Megatron Core MTP API Guide**: [`3rdparty/Megatron-LM/docs/source/api-guide/multi_token_prediction.md`](../../3rdparty/Megatron-LM/docs/source/api-guide/multi_token_prediction.md) - Detailed API documentation - Implementation notes and design decisions -- **Pipeline Parallelism Guide**: [`docs/parallelisms.md`](/Users/chcui/PycharmProjects/Megatron-Bridge/docs/parallelisms.md) +- **Pipeline Parallelism Guide**: [`docs/parallelisms.md`](../parallelisms.md) - Understanding pipeline parallelism layouts - Best practices for PP configuration @@ -259,7 +259,7 @@ This is normal. Only the last pipeline stage builds MTP layers. If you encounter issues not covered in this guide: -1. Check the [Megatron-Bridge GitHub Issues](https://github.com/NVIDIA/Megatron-Bridge/issues) +1. Check the [Megatron-Bridge GitHub Issues](https://github.com/NVIDIA-NeMo/Megatron-Bridge/issues) 2. Review the [Megatron-LM Discussions](https://github.com/NVIDIA/Megatron-LM/discussions) When reporting issues, include: From 2ba1e11ccbcb631dee6864662bf01051b036ae39 Mon Sep 17 00:00:00 2001 From: Chen Cui Date: Mon, 2 Feb 2026 22:31:46 -0800 Subject: [PATCH 6/8] address comments Signed-off-by: Chen Cui --- docs/training/multi-token-prediction.md | 29 ++++++++++++++----------- 1 file changed, 16 insertions(+), 13 deletions(-) diff --git a/docs/training/multi-token-prediction.md b/docs/training/multi-token-prediction.md index 1fa7f64466..b2c2a82656 100644 --- a/docs/training/multi-token-prediction.md +++ b/docs/training/multi-token-prediction.md @@ -69,19 +69,22 @@ Here's a minimal example using the Qwen3 30B-A3B recipe with MTP enabled: from megatron.bridge.recipes.qwen import qwen3_30b_a3b_pretrain from megatron.bridge.training.pretrain import pretrain -config = qwen3_30b_a3b_pretrain( - name="qwen3_next_mtp_test", - data_paths=[ - f"/path/to/dclm/preprocessed/dclm_{i:02d}_text_document" - for i in range(1, 11) - ], -) -# Optionally set cache dir -config.dataset.path_to_cache = "/path/to/cache" +log_dir = f"/path/to/log/dir" +cfg: ConfigContainer = qwen3_30b_a3b_pretrain_config() +cfg.logger.log_dir = log_dir +cfg.logger.tensorboard_dir = log_dir + "/tb_logs" +cfg.checkpoint.save = log_dir + "/checkpoints" +cfg.checkpoint.load = log_dir + "/checkpoints" +# Set up training dataset +cfg.dataset.blend=[[ + f"/path/to/dclm/preprocessed/dclm_{i:02d}_text_document" + for i in range(1, 11) +], None] +cfg.dataset.split="9999,8,2" +cfg.dataset.path_to_cache = "/path/to/cache" # MTP Configuration -config.mtp_num_layers = 1 -config.mtp_loss_scaling_factor = 0.1 - +cfg.mtp_num_layers = 1 +cfg.mtp_loss_scaling_factor = 0.1 pretrain(config) ``` Follow the [DCLM Tutorial](https://github.com/NVIDIA-NeMo/Megatron-Bridge/tree/main/tutorials/data/dclm) to prepare the training data @@ -97,7 +100,7 @@ MTP layers take approximately the same training time as a regular transformer la - **Place MTP in the last PP stage** (required for correct loss computation) - **Reduce layers in other PP ranks** to balance computation time across stages -- Example: For a 60-layer model with PP=4 and `mtp_num_layers=1`, you might use splits like `[15, 30, 45, 60]` instead of `[15, 30, 46, 60]` to account for MTP overhead in the last stage +- Example: For a 21-layer model with PP=4 and `mtp_num_layers=1`, you might use splits like `[5, 6, 6, 4]` instead of `[5, 5, 5, 6]` to account for MTP overhead in the last stage ## Parallelism Support From 569c42ccf5ecca19f8c71845b1acd1f7bbf24c60 Mon Sep 17 00:00:00 2001 From: Chen Cui Date: Mon, 2 Feb 2026 22:43:26 -0800 Subject: [PATCH 7/8] fix link Signed-off-by: Chen Cui --- docs/training/multi-token-prediction.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/training/multi-token-prediction.md b/docs/training/multi-token-prediction.md index b2c2a82656..ae5084901e 100644 --- a/docs/training/multi-token-prediction.md +++ b/docs/training/multi-token-prediction.md @@ -24,7 +24,7 @@ MTP is primarily used for pre-training. - [DeepSeek-V3 Technical Report](https://arxiv.org/abs/2412.19437) - Original paper introducing MTP - [DeepSeek-V3 GitHub](https://github.com/deepseek-ai/DeepSeek-V3) - Official implementation -- [Megatron Core MTP API Guide](../3rdparty/Megatron-LM/docs/source/api-guide/multi_token_prediction.md) - Low-level implementation details +- [Megatron Core MTP API Guide](../3rdparty/Megatron-LM/docs/user-guide/features/multi_token_prediction.md) - Low-level implementation details ## Configuration Parameters @@ -235,7 +235,7 @@ This is normal. Only the last pipeline stage builds MTP layers. ### Documentation -- **Megatron Core MTP API Guide**: [`3rdparty/Megatron-LM/docs/source/api-guide/multi_token_prediction.md`](../../3rdparty/Megatron-LM/docs/source/api-guide/multi_token_prediction.md) +- **Megatron Core MTP API Guide**: [`3rdparty/Megatron-LM/docs/user-guide/features/multi_token_prediction.md`](../../3rdparty/Megatron-LM/docs/user-guide/features/multi_token_prediction.md) - Detailed API documentation - Implementation notes and design decisions From da60c12950b1ce697281b3e3513a79ac2196781d Mon Sep 17 00:00:00 2001 From: Chen Cui Date: Mon, 2 Feb 2026 22:56:59 -0800 Subject: [PATCH 8/8] fix link Signed-off-by: Chen Cui --- docs/training/multi-token-prediction.md | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/docs/training/multi-token-prediction.md b/docs/training/multi-token-prediction.md index ae5084901e..3c8a3deb05 100644 --- a/docs/training/multi-token-prediction.md +++ b/docs/training/multi-token-prediction.md @@ -24,7 +24,7 @@ MTP is primarily used for pre-training. - [DeepSeek-V3 Technical Report](https://arxiv.org/abs/2412.19437) - Original paper introducing MTP - [DeepSeek-V3 GitHub](https://github.com/deepseek-ai/DeepSeek-V3) - Official implementation -- [Megatron Core MTP API Guide](../3rdparty/Megatron-LM/docs/user-guide/features/multi_token_prediction.md) - Low-level implementation details +- [Megatron Core MTP Guide](https://github.com/NVIDIA/Megatron-LM/blob/main/docs/user-guide/features/multi_token_prediction.md) - Low-level implementation details ## Configuration Parameters @@ -235,8 +235,7 @@ This is normal. Only the last pipeline stage builds MTP layers. ### Documentation -- **Megatron Core MTP API Guide**: [`3rdparty/Megatron-LM/docs/user-guide/features/multi_token_prediction.md`](../../3rdparty/Megatron-LM/docs/user-guide/features/multi_token_prediction.md) - - Detailed API documentation +- **Megatron Core MTP Guide**: [`3rdparty/Megatron-LM/docs/user-guide/features/multi_token_prediction.md`](https://github.com/NVIDIA/Megatron-LM/blob/main/docs/user-guide/features/multi_token_prediction.md) - Implementation notes and design decisions - **Pipeline Parallelism Guide**: [`docs/parallelisms.md`](../parallelisms.md)