Revert "checkpoint model on first step callback (#2906)"

This reverts commit 10ba1622f7.

.coderabbit.yaml

@@ -1,16 +0,0 @@
-# yaml-language-server: $schema=https://coderabbit.ai/integrations/schema.v2.json
-language: "en-US"
-early_access: false
-reviews:
-  profile: "chill"
-  request_changes_workflow: false
-  high_level_summary: true
-  review_status: true
-  collapse_walkthrough: true
-  poem: false
-  sequence_diagrams: false
-  auto_review:
-    enabled: true
-    drafts: false
-chat:
-  auto_reply: true

.github/workflows/main.yml

@@ -87,6 +87,7 @@ jobs:
             python_version: "3.11"
             pytorch: 2.6.0
             axolotl_extras:
+            is_latest: true
           - cuda: 126
             cuda_version: 12.6.3
             python_version: "3.11"
@@ -97,7 +98,6 @@ jobs:
             python_version: "3.11"
             pytorch: 2.7.1
             axolotl_extras:
-            is_latest: true
           - cuda: 128
             cuda_version: 12.8.1
             python_version: "3.11"

.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: 120
+    timeout-minutes: 60
     needs: [pre-commit, pytest]
 
     strategy:
@@ -106,13 +106,6 @@ jobs:
             num_gpus: 1
             axolotl_extras:
             nightly_build: "true"
-          - cuda: 126
-            cuda_version: 12.6.3
-            python_version: "3.11"
-            pytorch: 2.7.1
-            num_gpus: 1
-            axolotl_extras:
-            nightly_build: "true"
     steps:
       - name: Checkout
         uses: actions/checkout@v4
@@ -123,7 +116,7 @@ jobs:
       - name: Install Modal
         run: |
           python -m pip install --upgrade pip
-          pip install modal==1.0.2 jinja2
+          pip install modal==0.71.8 jinja2
       - name: Update env vars
         run: |
           echo "BASE_TAG=main-base-py${{ matrix.python_version }}-cu${{ matrix.cuda }}-${{ matrix.pytorch }}" >> $GITHUB_ENV
@@ -137,45 +130,3 @@ jobs:
       - name: Run tests job on Modal
         run: |
           modal run cicd.e2e_tests
-  docker-e2e-multigpu-tests:
-    if: github.repository_owner == 'axolotl-ai-cloud'
-    # this job needs to be run on self-hosted GPU runners...
-    runs-on: [self-hosted, modal]
-    timeout-minutes: 120
-    needs: [pre-commit, pytest, docker-e2e-tests]
-
-    strategy:
-      fail-fast: false
-      matrix:
-        include:
-          - cuda: 126
-            cuda_version: 12.6.3
-            python_version: "3.11"
-            pytorch: 2.7.1
-            num_gpus: 2
-            axolotl_extras:
-            nightly_build: "true"
-    steps:
-      - name: Checkout
-        uses: actions/checkout@v4
-      - name: Install Python
-        uses: actions/setup-python@v5
-        with:
-          python-version: "3.11"
-      - name: Install Modal
-        run: |
-          python -m pip install --upgrade pip
-          pip install modal==1.0.2 jinja2
-      - name: Update env vars
-        run: |
-          echo "BASE_TAG=main-base-py${{ matrix.python_version }}-cu${{ matrix.cuda }}-${{ matrix.pytorch }}" >> $GITHUB_ENV
-          echo "PYTORCH_VERSION=${{ matrix.pytorch}}" >> $GITHUB_ENV
-          echo "AXOLOTL_ARGS=${{ matrix.axolotl_args}}" >> $GITHUB_ENV
-          echo "AXOLOTL_EXTRAS=${{ matrix.axolotl_extras}}" >> $GITHUB_ENV
-          echo "CUDA=${{ matrix.cuda }}" >> $GITHUB_ENV
-          echo "N_GPUS=${{ matrix.num_gpus }}" >> $GITHUB_ENV
-          echo "NIGHTLY_BUILD=${{ matrix.nightly_build }}" >> $GITHUB_ENV
-          echo "CODECOV_TOKEN=${{ secrets.CODECOV_TOKEN }}" >> $GITHUB_ENV
-      - name: Run tests job on Modal
-        run: |
-          modal run cicd.multigpu

codecov.yml

@@ -22,7 +22,6 @@ coverage:
         only_pulls: true
         flags: null
         paths: null
-        informational: true
     patch:
       default:
         # basic

examples/cloud/modal.yaml

@@ -26,5 +26,3 @@ 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

@@ -35,6 +35,7 @@ wandb_watch:
 wandb_name:
 wandb_log_model:
 
+
 gradient_accumulation_steps: 4
 micro_batch_size: 1
 num_epochs: 4
@@ -55,5 +56,3 @@ 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@50cef19\""
+        "!pip install \"cut-cross-entropy[transformers] @ git+https://github.com/axolotl-ai-cloud/ml-cross-entropy.git@78b2a45713a54c9bedf8b33f5e31cf07a1a57154\""
       ]
     },
     {

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

@@ -56,5 +56,3 @@ 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

@@ -56,5 +56,3 @@ 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

@@ -55,5 +55,3 @@ 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

@@ -79,5 +79,3 @@ 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

@@ -62,5 +62,3 @@ 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

@@ -69,5 +69,3 @@ 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

@@ -46,6 +46,7 @@ wandb_watch:
 wandb_name:
 wandb_log_model:
 
+
 gradient_accumulation_steps: 4
 micro_batch_size: 1
 num_epochs: 4
@@ -68,5 +69,3 @@ 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

@@ -69,5 +69,3 @@ 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

@@ -69,5 +69,3 @@ 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

@@ -69,5 +69,3 @@ 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

@@ -69,5 +69,3 @@ 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

@@ -60,5 +60,3 @@ 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

@@ -50,5 +50,3 @@ 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

@@ -66,5 +66,3 @@ 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

@@ -60,5 +60,3 @@ 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

@@ -62,5 +62,3 @@ 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

@@ -60,5 +60,3 @@ 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

@@ -54,5 +54,3 @@ 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

@@ -55,5 +55,3 @@ 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

@@ -64,5 +64,3 @@ 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

@@ -46,5 +46,3 @@ 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

@@ -55,5 +55,3 @@ 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

@@ -64,5 +64,3 @@ 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

@@ -60,5 +60,3 @@ 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

@@ -52,5 +52,3 @@ 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

@@ -52,5 +52,3 @@ 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

@@ -67,5 +67,3 @@ 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

@@ -53,5 +53,3 @@ 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

@@ -58,5 +58,3 @@ 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

@@ -57,5 +57,3 @@ 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

@@ -77,5 +77,3 @@ 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

@@ -72,5 +72,3 @@ 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

@@ -42,5 +42,3 @@ 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

@@ -71,5 +71,3 @@ 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

@@ -64,5 +64,3 @@ 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

@@ -83,5 +83,3 @@ 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

@@ -61,5 +61,3 @@ 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

@@ -65,5 +65,3 @@ 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

@@ -64,5 +64,3 @@ 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

@@ -63,5 +63,3 @@ 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

@@ -60,5 +60,3 @@ 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

@@ -57,5 +57,3 @@ 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

@@ -61,5 +61,3 @@ 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

@@ -62,5 +62,3 @@ 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

@@ -60,5 +60,3 @@ 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

@@ -69,5 +69,3 @@ 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

@@ -54,5 +54,3 @@ 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

@@ -75,5 +75,3 @@ 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

@@ -86,5 +86,3 @@ 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

@@ -90,5 +90,3 @@ 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

@@ -83,5 +83,3 @@ 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

@@ -86,5 +86,3 @@ 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

@@ -84,5 +84,3 @@ 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

@@ -82,5 +82,3 @@ 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

@@ -87,5 +87,3 @@ 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

@@ -53,5 +53,3 @@ 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

@@ -70,5 +70,3 @@ 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

@@ -61,5 +61,3 @@ 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

@@ -48,5 +48,3 @@ 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

@@ -53,5 +53,3 @@ 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

@@ -43,5 +43,3 @@ 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

@@ -64,5 +64,3 @@ 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

@@ -64,5 +64,3 @@ 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

@@ -80,5 +80,3 @@ 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

@@ -74,5 +74,3 @@ 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

@@ -69,5 +69,3 @@ 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

@@ -56,5 +56,3 @@ 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

@@ -72,5 +72,3 @@ 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

@@ -77,5 +77,3 @@ 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

@@ -81,5 +81,3 @@ 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

@@ -51,5 +51,3 @@ 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

@@ -64,5 +64,3 @@ 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

@@ -50,5 +50,3 @@ 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

@@ -63,5 +63,3 @@ 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

@@ -57,5 +57,3 @@ 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

@@ -60,5 +60,3 @@ 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

@@ -57,5 +57,3 @@ 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

@@ -71,5 +71,3 @@ 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

@@ -59,5 +59,3 @@ 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

@@ -55,5 +55,3 @@ 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

@@ -53,5 +53,3 @@ 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

@@ -54,5 +54,3 @@ 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

@@ -55,5 +55,3 @@ 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

@@ -67,5 +67,3 @@ 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

@@ -26,6 +26,7 @@ wandb_watch:
 wandb_name:
 wandb_log_model:
 
+
 gradient_accumulation_steps: 4
 micro_batch_size: 2
 num_epochs: 4
@@ -49,5 +50,3 @@ 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

@@ -53,5 +53,3 @@ 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

@@ -67,5 +67,3 @@ 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

@@ -76,5 +76,3 @@ 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

@@ -66,5 +66,3 @@ 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

@@ -15,7 +15,7 @@ huggingface_hub>=0.33.0
 peft==0.16.0
 transformers==4.53.2
 tokenizers>=0.21.1
-accelerate==1.9.0
+accelerate==1.8.1
 datasets==4.0.0
 deepspeed>=0.17.0
 trl==0.19.1
@@ -26,7 +26,7 @@ hf_transfer
 sentencepiece
 gradio==5.23.3
 
-modal==1.0.2
+modal==0.70.5
 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@50cef19"'
+    + f'{UV_PREFIX}pip install "cut-cross-entropy[transformers] @ git+https://github.com/axolotl-ai-cloud/ml-cross-entropy.git@865b899"'
 )

src/axolotl/cli/quantize.py

@@ -43,7 +43,7 @@ def do_quantize(
             "No quantization configuration found. Please specify either qat or quantization in your config file."
         )
 
-    model_path = cli_args.get("base_model") or cfg.output_dir
+    model_path = cli_args.get("model_path") or cfg.output_dir
     if weight_dtype := cli_args.get("weight_dtype"):
         weight_dtype = TorchIntDType[weight_dtype]
     else:

src/axolotl/core/builders/base.py

@@ -36,7 +36,6 @@ from axolotl.utils.callbacks import (
     GCCallback,
     GPUStatsCallback,
     SaveAxolotlConfigtoWandBCallback,
-    SaveModelOnFirstStepCallback,
 )
 from axolotl.utils.callbacks.profiler import PytorchProfilerCallback
 from axolotl.utils.schemas.enums import CustomSupportedOptimizers
@@ -136,8 +135,6 @@ class TrainerBuilderBase(abc.ABC):
             callbacks.append(
                 SaveAxolotlConfigtoCometCallback(self.cfg.axolotl_config_path)
             )
-        if self.cfg.save_first_step:
-            callbacks.append(SaveModelOnFirstStepCallback())
 
         callbacks.append(GPUStatsCallback(cfg=self.cfg))