Merge branch 'main' into kwargs-refactor

* Apply generic fused liger ce for unknown models

* fix deepseek liger modeling

* generic cce and config tiled mlp to use original mlp and auto detect compute params

* fix weight and lint

* update warnings

* address PR feedback

* use lookup for model class prefixes

* revert inadvertent change to flash attn verison

* remove un-needed pylint annotations

* fix import

.github/workflows/multi-gpu-e2e.yml

@@ -33,6 +33,13 @@ jobs:
             axolotl_extras:
             num_gpus: 2
             nightly_build: "true"
+          - cuda: 126
+            cuda_version: 12.6.3
+            python_version: "3.11"
+            pytorch: 2.7.0
+            axolotl_extras: vllm
+            num_gpus: 2
+            nightly_build: "true"
           - cuda: 126
             cuda_version: 12.6.3
             python_version: "3.11"

.github/workflows/nightlies.yml

@@ -12,11 +12,16 @@ jobs:
       fail-fast: false
       matrix:
         include:
-          - cuda: 124
-            cuda_version: 12.4.1
+          - cuda: 126
+            cuda_version: 12.6.3
             python_version: "3.11"
             pytorch: 2.6.0
             axolotl_extras:
+          - cuda: 126
+            cuda_version: 12.6.3
+            python_version: "3.11"
+            pytorch: 2.7.1
+            axolotl_extras:
     runs-on: axolotl-gpu-runner
     steps:
       - name: Checkout
@@ -60,15 +65,15 @@ jobs:
     strategy:
       matrix:
         include:
-          - cuda: 124
-            cuda_version: 12.4.1
+          - cuda: 126
+            cuda_version: 12.6.3
             python_version: "3.11"
             pytorch: 2.6.0
             axolotl_extras:
           - cuda: 126
             cuda_version: 12.6.3
             python_version: "3.11"
-            pytorch: 2.6.0
+            pytorch: 2.7.1
             axolotl_extras:
     runs-on: axolotl-gpu-runner
     steps:

.github/workflows/tests-nightly.yml

@@ -92,7 +92,7 @@ jobs:
     if: github.repository_owner == 'axolotl-ai-cloud'
     # this job needs to be run on self-hosted GPU runners...
     runs-on: [self-hosted, modal]
-    timeout-minutes: 60
+    timeout-minutes: 120
     needs: [pre-commit, pytest]
 
     strategy:
@@ -116,7 +116,7 @@ jobs:
       - name: Install Modal
         run: |
           python -m pip install --upgrade pip
-          pip install modal==0.71.8 jinja2
+          pip install modal==1.0.2 jinja2
       - name: Update env vars
         run: |
           echo "BASE_TAG=main-base-py${{ matrix.python_version }}-cu${{ matrix.cuda }}-${{ matrix.pytorch }}" >> $GITHUB_ENV

_quarto.yml

@@ -276,6 +276,7 @@ website:
             - docs/torchao.qmd
             - docs/custom_integrations.qmd
             - docs/sequence_parallelism.qmd
+            - docs/gradient_checkpointing.qmd
 
         - section: "Troubleshooting"
           contents:

docs/gradient_checkpointing.qmd

@@ -0,0 +1,29 @@
+---
+title: Gradient Checkpointing and Activation Offloading
+---
+
+Gradient checkpointing and activation offloading are techniques used to optimize the performance of deep learning
+models by reducing the memory footprint and improving computational efficiency.
+
+### Enabling Gradient Checkpointing
+
+```yaml
+gradient_checkpointing: true
+```
+
+### Enabling Activation Offloading
+
+```yaml
+gradient_checkpointing: true  # required for activation offloading
+activation_offloading: true
+```
+
+Activation offloading variants:
+
+The default `activation_offloading: true` offloads activations to CPU and uses CUDA streams
+to overlap the communications and computations when offloading.
+
+The `activation_offloading: legacy` naively offloads activations to CPU and without additional optimizations.
+
+For resource constrained environments with limited CPU memory, `activation_offloading: disk` offloads
+activations to disk instead of CPU RAM so that much larger context lengths can be trained with minimal memory.

examples/cloud/modal.yaml

@@ -26,3 +26,5 @@ timeout: 86400
 # Preprocess specific configurations
 memory_preprocess: 32
 timeout_preprocess: 14400
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/cohere/command-r-7b-qlora.yml

@@ -35,7 +35,6 @@ wandb_watch:
 wandb_name:
 wandb_log_model:
 
-
 gradient_accumulation_steps: 4
 micro_batch_size: 1
 num_epochs: 4
@@ -56,3 +55,5 @@ evals_per_epoch:
 saves_per_epoch: 1
 weight_decay: 0.0
 special_tokens:
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/colab-notebooks/colab-axolotl-example.ipynb

@@ -40,7 +40,7 @@
         "%%capture\n",
         "# This step can take ~5-10 minutes to install dependencies\n",
         "!pip install --no-build-isolation axolotl[flash-attn]>=0.9.1\n",
-        "!pip install \"cut-cross-entropy[transformers] @ git+https://github.com/axolotl-ai-cloud/ml-cross-entropy.git@78b2a45713a54c9bedf8b33f5e31cf07a1a57154\""
+        "!pip install \"cut-cross-entropy[transformers] @ git+https://github.com/axolotl-ai-cloud/ml-cross-entropy.git@50cef19\""
       ]
     },
     {

examples/deepcogito/cogito-v1-preview-llama-3B-lora.yml

@@ -56,3 +56,5 @@ evals_per_epoch: 1
 saves_per_epoch: 1
 weight_decay: 0.0
 special_tokens:
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/deepcogito/cogito-v1-preview-qwen-14B-lora.yml

@@ -56,3 +56,5 @@ evals_per_epoch: 1
 saves_per_epoch: 1
 weight_decay: 0.0
 special_tokens:
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/deepseek-v2/fft-fsdp-16b.yaml

@@ -55,3 +55,5 @@ fsdp_config:
   fsdp_transformer_layer_cls_to_wrap: DeepseekV2DecoderLayer
   fsdp_state_dict_type: FULL_STATE_DICT
   fsdp_sharding_strategy: FULL_SHARD
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/deepseek-v2/qlora-fsdp-2_5.yaml

@@ -79,3 +79,5 @@ fsdp_config:
   fsdp_transformer_layer_cls_to_wrap: DeepseekV2DecoderLayer
   fsdp_state_dict_type: FULL_STATE_DICT
   fsdp_sharding_strategy: FULL_SHARD
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/devstral/devstral-small-qlora.yml

@@ -62,3 +62,5 @@ saves_per_epoch: 1
 
 weight_decay: 0.0
 special_tokens:
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/falcon-h1/falcon-h1-1b-deep-qlora.yaml

@@ -69,3 +69,5 @@ evals_per_epoch:
 saves_per_epoch: 1
 weight_decay: 0.0
 special_tokens:
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/falcon-h1/falcon-h1-1b-qlora.yaml

@@ -46,7 +46,6 @@ wandb_watch:
 wandb_name:
 wandb_log_model:
 
-
 gradient_accumulation_steps: 4
 micro_batch_size: 1
 num_epochs: 4
@@ -69,3 +68,5 @@ evals_per_epoch:
 saves_per_epoch: 1
 weight_decay: 0.0
 special_tokens:
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/falcon-h1/falcon-h1-34b-qlora.yaml

@@ -69,3 +69,5 @@ evals_per_epoch:
 saves_per_epoch: 1
 weight_decay: 0.0
 special_tokens:
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/falcon-h1/falcon-h1-3b-qlora.yaml

@@ -69,3 +69,5 @@ evals_per_epoch: 1
 saves_per_epoch: 1
 weight_decay: 0.0
 special_tokens:
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/falcon-h1/falcon-h1-500m-qlora.yaml

@@ -69,3 +69,5 @@ evals_per_epoch:
 saves_per_epoch: 1
 weight_decay: 0.0
 special_tokens:
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/falcon-h1/falcon-h1-7b-qlora.yaml

@@ -69,3 +69,5 @@ evals_per_epoch: 1
 saves_per_epoch: 1
 weight_decay: 0.0
 special_tokens:
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/gemma2/qlora.yml

@@ -60,3 +60,5 @@ evals_per_epoch:
 saves_per_epoch: 1
 weight_decay: 0.0
 special_tokens:
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/gemma2/reward-model.yaml

@@ -50,3 +50,5 @@ evals_per_epoch:
 saves_per_epoch: 1
 weight_decay: 0.0
 special_tokens:
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/gemma3/gemma-3-1b-qlora.yml

@@ -66,3 +66,5 @@ evals_per_epoch:
 saves_per_epoch: 1
 weight_decay: 0.0
 special_tokens:
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/gemma3/gemma-3-4b-qlora.yml

@@ -60,3 +60,5 @@ warmup_ratio: 0.1
 evals_per_epoch: 1
 saves_per_epoch: 1
 weight_decay: 0.0
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/gemma3/gemma-3-4b-vision-qlora.yml

@@ -62,3 +62,5 @@ warmup_ratio: 0.1
 evals_per_epoch: 1
 saves_per_epoch: 1
 weight_decay: 0.0
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/glm4/qlora-32b.yaml

@@ -60,3 +60,5 @@ evals_per_epoch: 1
 saves_per_epoch: 1
 weight_decay: 0.0
 special_tokens:
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/jamba/qlora.yaml

@@ -54,3 +54,5 @@ evals_per_epoch:
 saves_per_epoch: 1
 weight_decay: 0.0
 special_tokens:
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/jamba/qlora_deepspeed.yaml

@@ -55,3 +55,5 @@ saves_per_epoch: 1
 deepspeed: deepspeed_configs/zero2.json
 weight_decay: 0.0
 special_tokens:
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/jamba/qlora_fsdp_large.yaml

@@ -64,3 +64,5 @@ fsdp_config:
   fsdp_transformer_layer_cls_to_wrap: JambaAttentionDecoderLayer,JambaMambaDecoderLayer
   fsdp_state_dict_type: FULL_STATE_DICT
   fsdp_sharding_strategy: FULL_SHARD
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/lfm2/lfm2-350m-fft.yaml

@@ -46,3 +46,5 @@ evals_per_epoch: 2
 saves_per_epoch: 1
 
 weight_decay: 0.0
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/llama-2/fft_optimized.yml

@@ -55,3 +55,5 @@ saves_per_epoch: 1
 deepspeed: #deepspeed_configs/zero2.json # multi-gpu only
 weight_decay: 0.1
 special_tokens:
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/llama-2/gptq-lora.yml

@@ -64,3 +64,5 @@ special_tokens:
   bos_token: "<s>"
   eos_token: "</s>"
   unk_token: "<unk>"
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/llama-2/lisa.yml

@@ -60,3 +60,5 @@ special_tokens:
   bos_token: "<s>"
   eos_token: "</s>"
   unk_token: "<unk>"
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/llama-2/loftq.yml

@@ -52,3 +52,5 @@ evals_per_epoch: 4
 saves_per_epoch: 1
 weight_decay: 0.0
 special_tokens:
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/llama-2/lora.yml

@@ -52,3 +52,5 @@ evals_per_epoch: 4
 saves_per_epoch: 1
 weight_decay: 0.0
 special_tokens:
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/llama-2/qlora-fsdp.yml

@@ -67,3 +67,5 @@ fsdp_config:
   fsdp_transformer_layer_cls_to_wrap: LlamaDecoderLayer
   fsdp_state_dict_type: FULL_STATE_DICT
 special_tokens:
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/llama-2/qlora.yml

@@ -53,3 +53,5 @@ evals_per_epoch: 4
 saves_per_epoch: 1
 weight_decay: 0.0
 special_tokens:
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/llama-2/relora.yml

@@ -58,3 +58,5 @@ special_tokens:
   bos_token: "<s>"
   eos_token: "</s>"
   unk_token: "<unk>"
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/llama-3-vision/lora-11b.yaml

@@ -57,3 +57,5 @@ warmup_ratio: 0.1
 evals_per_epoch: 1
 saves_per_epoch: 1
 weight_decay: 0.0
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/llama-3/3b-qat-fsdp2.yaml

@@ -77,3 +77,5 @@ fsdp_config:
 
 special_tokens:
   pad_token: <|end_of_text|>
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/llama-3/fft-8b-liger-fsdp.yaml

@@ -72,3 +72,5 @@ fsdp_config:
 special_tokens:
   pad_token: <|finetune_right_pad_id|>
   eos_token: <|eot_id|>
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/llama-3/fft-8b.yaml

@@ -42,3 +42,5 @@ saves_per_epoch: 1
 weight_decay: 0.0
 special_tokens:
   pad_token: <|end_of_text|>
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/llama-3/instruct-dpo-lora-8b.yml

@@ -71,3 +71,5 @@ warmup_steps: 10
 evals_per_epoch: 4
 saves_per_epoch: 1
 weight_decay: 0.0
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/llama-3/instruct-lora-8b.yml

@@ -64,3 +64,5 @@ saves_per_epoch: 1
 weight_decay: 0.0
 special_tokens:
    pad_token: <|end_of_text|>
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/llama-3/lora-1b-deduplicate-dpo.yml

@@ -83,3 +83,5 @@ warmup_steps: 10
 evals_per_epoch: 4
 saves_per_epoch: 1
 weight_decay: 0.0
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/llama-3/lora-1b-deduplicate-sft.yml

@@ -61,3 +61,5 @@ saves_per_epoch: 1
 weight_decay: 0.0
 special_tokens:
    pad_token: <|end_of_text|>
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/llama-3/lora-1b-kernels.yml

@@ -65,3 +65,5 @@ saves_per_epoch: 1
 weight_decay: 0.0
 special_tokens:
   pad_token: "<|end_of_text|>"
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/llama-3/lora-1b-ray.yml

@@ -64,3 +64,5 @@ special_tokens:
 
 use_ray: true
 ray_num_workers: 4
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/llama-3/lora-1b-sample-packing-sequentially.yml

@@ -63,3 +63,5 @@ saves_per_epoch: 1
 weight_decay: 0.0
 special_tokens:
   pad_token: <|end_of_text|>
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/llama-3/lora-1b.yml

@@ -60,3 +60,5 @@ saves_per_epoch: 1
 weight_decay: 0.0
 special_tokens:
   pad_token: "<|end_of_text|>"
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/llama-3/lora-8b.yml

@@ -57,3 +57,5 @@ saves_per_epoch: 1
 weight_decay: 0.0
 special_tokens:
    pad_token: <|end_of_text|>
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/llama-3/qlora-1b-kto.yaml

@@ -61,3 +61,5 @@ saves_per_epoch: 1
 weight_decay: 0.0
 special_tokens:
   pad_token: "<|end_of_text|>"
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/llama-3/qlora-1b.yml

@@ -62,3 +62,5 @@ saves_per_epoch: 1
 weight_decay: 0.0
 special_tokens:
   pad_token: "<|end_of_text|>"
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/llama-3/qlora-fsdp-405b.yaml

@@ -60,3 +60,5 @@ fsdp_config:
   fsdp_sharding_strategy: FULL_SHARD
 special_tokens:
   pad_token: <|finetune_right_pad_id|>
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/llama-3/qlora-fsdp-70b.yaml

@@ -69,3 +69,5 @@ fsdp_config:
   fsdp_sharding_strategy: FULL_SHARD
 special_tokens:
   pad_token: <|end_of_text|>
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/llama-3/qlora.yml

@@ -54,3 +54,5 @@ saves_per_epoch: 1
 weight_decay: 0.0
 special_tokens:
   pad_token: "<|end_of_text|>"
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/llama-3/sparse-finetuning.yaml

@@ -75,3 +75,5 @@ llmcompressor:
           ]
           start: 0
   save_compressed: true
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/llama-4/do-no-use-fa2/maverick-qlora-fsdp1.yaml

@@ -86,3 +86,5 @@ fsdp_config:
 special_tokens:
   pad_token: <|finetune_right_pad_id|>
   eos_token: <|eot|>
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/llama-4/do-no-use-fa2/scout-qlora-fsdp1.yaml

@@ -90,3 +90,5 @@ fsdp_config:
 special_tokens:
   pad_token: <|finetune_right_pad_id|>
   eos_token: <|eot|>
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/llama-4/do-no-use-fa2/scout-qlora-single-h100.yaml

@@ -83,3 +83,5 @@ weight_decay: 0.0
 special_tokens:
   pad_token: <|finetune_right_pad_id|>
   eos_token: <|eot|>
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/llama-4/do-no-use-fa2/scout-vision-qlora-fsdp.yaml

@@ -86,3 +86,5 @@ fsdp_config:
 special_tokens:
   pad_token: <|finetune_right_pad_id|>
   eos_token: <|eot|>
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/llama-4/scout-qlora-flexattn-fsdp2.yaml

@@ -84,3 +84,5 @@ fsdp_config:
 special_tokens:
   pad_token: <|finetune_right_pad_id|>
   eos_token: <|eot|>
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/llama-4/scout-qlora-single-h100-flex.yaml

@@ -82,3 +82,5 @@ weight_decay: 0.0
 special_tokens:
   pad_token: <|finetune_right_pad_id|>
   eos_token: <|eot|>
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/llama-4/scout-vision-qlora-fsdp2-flex.yaml

@@ -87,3 +87,5 @@ fsdp_config:
 special_tokens:
   pad_token: <|finetune_right_pad_id|>
   eos_token: <|eot|>
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/llava/lora-7b.yaml

@@ -53,3 +53,5 @@ warmup_ratio: 0.1
 evals_per_epoch: 1
 saves_per_epoch: 1
 weight_decay: 0.0
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/magistral/magistral-small-fsdp-qlora.yaml

@@ -70,3 +70,5 @@ fsdp_config:
   fsdp_state_dict_type: FULL_STATE_DICT
   fsdp_transformer_layer_cls_to_wrap: MistralDecoderLayer
   fsdp_activation_checkpointing: true
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/magistral/magistral-small-qlora.yaml

@@ -61,3 +61,5 @@ flash_attention: true
 warmup_ratio: 0.1
 evals_per_epoch: 1
 saves_per_epoch: 1
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/mamba/config.yml

@@ -48,3 +48,5 @@ weight_decay: 0.0
 special_tokens:
 tokens:
 save_safetensors: False
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/mistral/bigstral-ds-zero3.yaml

@@ -53,3 +53,5 @@ special_tokens:
   eos_token: "<|im_end|>"
 tokens:
   - "<|im_start|>"
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/mistral/config.yml

@@ -43,3 +43,5 @@ evals_per_epoch: 4
 saves_per_epoch: 1
 weight_decay: 0.0
 special_tokens:
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/mistral/lora-mps.yml

@@ -64,3 +64,5 @@ evals_per_epoch: 4
 saves_per_epoch: 1
 weight_decay: 0.0
 special_tokens:
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/mistral/lora.yml

@@ -64,3 +64,5 @@ evals_per_epoch: 4
 saves_per_epoch: 1
 weight_decay: 0.0
 special_tokens:
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/mistral/mistral-dpo-qlora.yml

@@ -80,3 +80,5 @@ weight_decay: 0.0
 special_tokens:
   bos_token: "<|im_start|>"
   eos_token: "<|im_end|>"
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/mistral/mistral-qlora-fsdp.yml

@@ -74,3 +74,5 @@ fsdp_config:
   fsdp_state_dict_type: FULL_STATE_DICT
   fsdp_auto_wrap_policy: TRANSFORMER_BASED_WRAP
 special_tokens:
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/mistral/mistral-qlora-orpo.yml

@@ -69,3 +69,5 @@ evals_per_epoch: 4
 saves_per_epoch: 1
 weight_decay: 0.0
 special_tokens:
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/mistral/mistral-small-3.1-24B-lora.yml

@@ -56,3 +56,5 @@ evals_per_epoch: 1
 saves_per_epoch: 1
 weight_decay: 0.0
 special_tokens:
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/mistral/mixtral-8x22b-qlora-fsdp.yml

@@ -72,3 +72,5 @@ fsdp_config:
   fsdp_state_dict_type: FULL_STATE_DICT
   fsdp_auto_wrap_policy: TRANSFORMER_BASED_WRAP
 special_tokens:
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/mistral/mixtral-qlora-fsdp.yml

@@ -77,3 +77,5 @@ fsdp_config:
   fsdp_forward_prefetch: false
   fsdp_backward_prefetch: BACKWARD_PRE
 special_tokens:
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/mistral/mixtral.yml

@@ -81,3 +81,5 @@ saves_per_epoch: 1
 deepspeed: deepspeed_configs/zero2.json
 weight_decay: 0.0
 special_tokens:
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/mistral/mixtral_22.yml

@@ -51,3 +51,5 @@ special_tokens:
   eos_token: "<|im_end|>"
 tokens:
   - "<|im_start|>"
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/mistral/qlora.yml

@@ -64,3 +64,5 @@ evals_per_epoch: 4
 saves_per_epoch: 1
 weight_decay: 0.0
 special_tokens:
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/orpheus/finetune.yml

@@ -50,3 +50,5 @@ weight_decay: 0.05
 
 special_tokens:
   pad_token: <custom_token_7>
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/phi/lora-3.5.yaml

@@ -63,3 +63,5 @@ warmup_steps: 10
 evals_per_epoch: 4
 saves_per_epoch: 4
 weight_decay: 0.0
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/phi/phi-ft.yml

@@ -57,3 +57,5 @@ weight_decay: 0.1
 resize_token_embeddings_to_32x: true
 special_tokens:
   pad_token: "<|endoftext|>"
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/phi/phi-qlora.yml

@@ -60,3 +60,5 @@ weight_decay: 0.1
 resize_token_embeddings_to_32x: true
 special_tokens:
   pad_token: "<|endoftext|>"
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/phi/phi2-ft.yml

@@ -57,3 +57,5 @@ weight_decay: 0.1
 resize_token_embeddings_to_32x: true
 special_tokens:
   pad_token: "<|endoftext|>"
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/phi/phi3-ft-fsdp.yml

@@ -71,3 +71,5 @@ fsdp_config:
 resize_token_embeddings_to_32x: true
 special_tokens:
   pad_token: "<|endoftext|>"
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/phi/phi3-ft.yml

@@ -59,3 +59,5 @@ warmup_ratio: 0.2
 debug: true
 weight_decay: 0.1
 resize_token_embeddings_to_32x: true
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/pixtral/lora-12b.yml

@@ -55,3 +55,5 @@ saves_per_epoch: 1
 weight_decay: 0.0
 special_tokens:
   pad_token: <pad>
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/qwen2-vl/lora-7b.yaml

@@ -53,3 +53,5 @@ warmup_ratio: 0.1
 evals_per_epoch: 1
 saves_per_epoch: 1
 weight_decay: 0.0
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/qwen2/dpo.yaml

@@ -54,3 +54,5 @@ warmup_steps: 10
 evals_per_epoch: 4
 saves_per_epoch: 1
 weight_decay: 0.0
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/qwen2/prm.yaml

@@ -55,3 +55,5 @@ eval_steps: 100
 saves_per_epoch: 1
 weight_decay: 0.0
 special_tokens:
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/qwen2/qlora-fsdp.yaml

@@ -67,3 +67,5 @@ fsdp_config:
   fsdp_state_dict_type: FULL_STATE_DICT
   fsdp_sharding_strategy: FULL_SHARD
 special_tokens:
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/qwen2/reward-model.yaml

@@ -26,7 +26,6 @@ wandb_watch:
 wandb_name:
 wandb_log_model:
 
-
 gradient_accumulation_steps: 4
 micro_batch_size: 2
 num_epochs: 4
@@ -50,3 +49,5 @@ evals_per_epoch:
 saves_per_epoch: 1
 weight_decay: 0.0
 special_tokens:
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/qwen2_5-vl/lora-7b.yaml

@@ -53,3 +53,5 @@ warmup_ratio: 0.1
 evals_per_epoch: 1
 saves_per_epoch: 1
 weight_decay: 0.0
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/qwen3/32b-qlora.yaml

@@ -67,3 +67,5 @@ evals_per_epoch: 4
 saves_per_epoch: 1
 weight_decay: 0.0
 special_tokens:
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/qwen3/8b-qat-fsdp2.yml

@@ -76,3 +76,5 @@ fsdp_config:
   fsdp_activation_checkpointing: true
 
 special_tokens:
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

examples/qwen3/qlora-fsdp.yaml

@@ -66,3 +66,5 @@ fsdp_config:
   fsdp_state_dict_type: FULL_STATE_DICT
   fsdp_sharding_strategy: FULL_SHARD
 special_tokens:
+
+# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

requirements.txt

@@ -6,19 +6,19 @@ triton>=3.0.0
 mamba-ssm==1.2.0.post1
 xformers>=0.0.23.post1
 autoawq==0.2.7.post3
-liger-kernel==0.5.10
+liger-kernel==0.6.0
 # END section
 
 packaging==23.2
 
-huggingface_hub==0.32.2
-peft==0.15.2
-transformers==4.53.1
+huggingface_hub>=0.33.0
+peft==0.16.0
+transformers==4.53.2
 tokenizers>=0.21.1
 accelerate==1.8.1
-datasets==3.6.0
+datasets==4.0.0
 deepspeed>=0.17.0
-trl==0.18.2
+trl==0.19.1
 hf_xet==1.1.2
 
 optimum==1.16.2
@@ -26,7 +26,7 @@ hf_transfer
 sentencepiece
 gradio==5.23.3
 
-modal==0.70.5
+modal==1.0.2
 pydantic==2.10.6
 addict
 fire

scripts/cutcrossentropy_install.py

@@ -29,5 +29,5 @@ UV_PREFIX = "uv " if USE_UV else ""
 
 print(
     UNINSTALL_PREFIX
-    + f'{UV_PREFIX}pip install "cut-cross-entropy[transformers] @ git+https://github.com/axolotl-ai-cloud/ml-cross-entropy.git@865b899"'
+    + f'{UV_PREFIX}pip install "cut-cross-entropy[transformers] @ git+https://github.com/axolotl-ai-cloud/ml-cross-entropy.git@50cef19"'
 )

setup.py

@@ -73,9 +73,9 @@ def parse_requirements(extras_require_map):
                 extras_require_map["vllm"] = ["vllm>=0.9.0"]
             elif (major, minor) >= (2, 6):
                 _install_requires.pop(_install_requires.index(xformers_version))
-                _install_requires.append(
-                    "xformers==0.0.29.post2"
-                )  # vllm needs post2 w torch 2.6
+                _install_requires.append("xformers==0.0.29.post3")
+                # since we only support 2.6.0+cu126
+                _dependency_links.append("https://download.pytorch.org/whl/cu126")
                 extras_require_map["vllm"] = ["vllm==0.8.5.post1"]
             elif (major, minor) >= (2, 5):
                 _install_requires.pop(_install_requires.index(xformers_version))
@@ -121,7 +121,7 @@ extras_require = {
         "yunchang==0.6.0",
     ],
     "deepspeed": [
-        "deepspeed==0.17.1",
+        "deepspeed==0.17.2",
         "deepspeed-kernels",
     ],
     "mamba-ssm": [