From a2ba36ec6399d18b1adf7f75541b9b6111e89a94 Mon Sep 17 00:00:00 2001 From: Quarto GHA Workflow Runner Date: Tue, 23 Sep 2025 14:28:06 +0000 Subject: [PATCH] Built site for gh-pages --- .nojekyll | 2 +- ...core.datasets.transforms.chat_builder.html | 18 +- docs/multimodal.html | 21 +- search.json | 6 +- sitemap.xml | 396 +++++++++--------- 5 files changed, 221 insertions(+), 222 deletions(-) diff --git a/.nojekyll b/.nojekyll index 0843099f8..d56ea6452 100644 --- a/.nojekyll +++ b/.nojekyll @@ -1 +1 @@ -394adab2 \ No newline at end of file +cf30b694 \ No newline at end of file diff --git a/docs/api/core.datasets.transforms.chat_builder.html b/docs/api/core.datasets.transforms.chat_builder.html index cc5d0977a..b4d7b6f3a 100644 --- a/docs/api/core.datasets.transforms.chat_builder.html +++ b/docs/api/core.datasets.transforms.chat_builder.html @@ -544,7 +544,7 @@ dataset and converts it to a Chat.

chat_message_transform_builder

core.datasets.transforms.chat_builder.chat_message_transform_builder(
     train_on_inputs=False,
-    conversations_field='conversations',
+    conversations_field='messages',
     message_field_role=None,
     message_field_content=None,
     message_field_training=None,
@@ -555,9 +555,9 @@ dataset and converts it to a Chat.

 ---+++
@@ -577,25 +577,25 @@ dataset and converts it to a Chat.

-
-
+
+
-
+
-
+
-
+
diff --git a/docs/multimodal.html b/docs/multimodal.html
index 67051594b..8ccc7b6f9 100644
--- a/docs/multimodal.html
+++ b/docs/multimodal.html
@@ -588,17 +588,16 @@ gtag('config', 'G-9KYCVJBNMQ', { 'anonymize_ip': true});
   - path: HuggingFaceH4/llava-instruct-mix-vsft    type: chat_template    split: train[:1%]
-    field_messages: messages
-
-# (optional) if doing lora, only finetune the Language model,
-# leave the vision model and vision tower frozen
-# load_in_8bit: true
-adapter: lora
-lora_target_modules: 'model.language_model.layers.[\d]+.(mlp|cross_attn|self_attn).(up|down|gate|q|k|v|o)_proj'
-
-# (optional) if you want to resize images to a set size
-image_size: 512
-image_resize_algorithm: bilinear
+
+# (optional) if doing lora, only finetune the Language model,
+# leave the vision model and vision tower frozen
+# load_in_8bit: true
+adapter: lora
+lora_target_modules: 'model.language_model.layers.[\d]+.(mlp|cross_attn|self_attn).(up|down|gate|q|k|v|o)_proj'
+
+# (optional) if you want to resize images to a set size
+image_size: 512
+image_resize_algorithm: bilinear
Please see examples folder for full configs.

 

diff --git a/search.json b/search.json
index 470ccb577..c9f2174f6 100644
--- a/search.json
+++ b/search.json
@@ -494,7 +494,7 @@
     "href": "docs/multimodal.html#usage",
     "title": "MultiModal / Vision Language Models (BETA)",
     "section": "Usage",
-    "text": "Usage\nMultimodal support is limited and doesn’t have full feature parity.\nHere are the hyperparams you’ll need to use to finetune a multimodal model.\nprocessor_type: AutoProcessor\n\nskip_prepare_dataset: true\nremove_unused_columns: false  # leave columns in place as they are needed to handle image embeddings during training\nsample_packing: false  # not yet supported with multimodal\n\nchat_template:  # see in next section if specified\n\n# example dataset\ndatasets:\n  - path: HuggingFaceH4/llava-instruct-mix-vsft\n    type: chat_template\n    split: train[:1%]\n    field_messages: messages\n\n# (optional) if doing lora, only finetune the Language model,\n# leave the vision model and vision tower frozen\n# load_in_8bit: true\nadapter: lora\nlora_target_modules: 'model.language_model.layers.[\\d]+.(mlp|cross_attn|self_attn).(up|down|gate|q|k|v|o)_proj'\n\n# (optional) if you want to resize images to a set size\nimage_size: 512\nimage_resize_algorithm: bilinear\nPlease see examples folder for full configs.\n\n\n\n\n\n\nWarning\n\n\n\nSome of our chat_templates have been extended to support broader dataset types. This should not break any existing configs.\n\n\n\nMllama\nbase_model: meta-llama/Llama-3.2-11B-Vision-Instruct\n\nchat_template: llama3_2_vision\n\n\nLlama4\nbase_model: meta-llama/Llama-4-Scout-17B-16E-Instruct\n\nchat_template: llama4\n\n\nPixtral\nbase_model: mistralai/Pixtral-12B-2409\n\nchat_template: pixtral\n\n\nLlava-1.5\nbase_model: llava-hf/llava-1.5-7b-hf\n\nchat_template: llava\n\n\nMistral-Small-3.1\n\n\n\n\n\n\nTip\n\n\n\nPlease make sure to install vision lib via pip install 'mistral-common[opencv]==1.8.5'\n\n\nbase_model: mistralai/Mistral-Small-3.1-24B-Instruct-2503\n\n\nMagistral-Small-2509\n\n\n\n\n\n\nTip\n\n\n\nPlease make sure to install vision lib via pip install 'mistral-common[opencv]==1.8.5'\n\n\nbase_model: mistralai/Magistral-Small-2509\n\n\nVoxtral\n\n\n\n\n\n\nTip\n\n\n\nPlease make sure to install audio lib via pip3 install librosa==0.11.0 'mistral_common[audio]==1.8.3'\n\n\nbase_model: mistralai/Voxtral-Mini-3B-2507\n\n\nGemma-3\n\n\n\n\n\n\nTip\n\n\n\nThe Gemma3-1B model is a text-only model, so please train as regular text model.\n\n\nFor multi-modal 4B/12B/27B models, use the following config:\nbase_model: google/gemma-3-4b-it\n\nchat_template: gemma3\n\n\nGemma-3n\n\n\n\n\n\n\nWarning\n\n\n\nThe model’s initial loss and grad norm will be very high. We suspect this to be due to the Conv in the vision layers.\n\n\n\n\n\n\n\n\nTip\n\n\n\nPlease make sure to install timm via pip3 install timm==1.0.17\n\n\nbase_model: google/gemma-3n-E2B-it\n\nchat_template: gemma3n\n\n\nQwen2-VL\nbase_model: Qwen/Qwen2-VL-7B-Instruct\n\nchat_template: qwen2_vl\n\n\nQwen2.5-VL\nbase_model: Qwen/Qwen2.5-VL-7B-Instruct\n\nchat_template: qwen2_vl  # same as qwen2-vl\n\n\nSmolVLM2\n\n\n\n\n\n\nTip\n\n\n\nPlease make sure to install num2words via pip3 install num2words==0.5.14\n\n\nbase_model: HuggingFaceTB/SmolVLM2-500M-Video-Instruct\n\n\nLFM2-VL\n\n\n\n\n\n\nWarning\n\n\n\nPlease uninstall causal-conv1d via pip3 uninstall -y causal-conv1d\n\n\nbase_model: LiquidAI/LFM2-VL-450M",
+    "text": "Usage\nMultimodal support is limited and doesn’t have full feature parity.\nHere are the hyperparams you’ll need to use to finetune a multimodal model.\nprocessor_type: AutoProcessor\n\nskip_prepare_dataset: true\nremove_unused_columns: false  # leave columns in place as they are needed to handle image embeddings during training\nsample_packing: false  # not yet supported with multimodal\n\nchat_template:  # see in next section if specified\n\n# example dataset\ndatasets:\n  - path: HuggingFaceH4/llava-instruct-mix-vsft\n    type: chat_template\n    split: train[:1%]\n\n# (optional) if doing lora, only finetune the Language model,\n# leave the vision model and vision tower frozen\n# load_in_8bit: true\nadapter: lora\nlora_target_modules: 'model.language_model.layers.[\\d]+.(mlp|cross_attn|self_attn).(up|down|gate|q|k|v|o)_proj'\n\n# (optional) if you want to resize images to a set size\nimage_size: 512\nimage_resize_algorithm: bilinear\nPlease see examples folder for full configs.\n\n\n\n\n\n\nWarning\n\n\n\nSome of our chat_templates have been extended to support broader dataset types. This should not break any existing configs.\n\n\n\nMllama\nbase_model: meta-llama/Llama-3.2-11B-Vision-Instruct\n\nchat_template: llama3_2_vision\n\n\nLlama4\nbase_model: meta-llama/Llama-4-Scout-17B-16E-Instruct\n\nchat_template: llama4\n\n\nPixtral\nbase_model: mistralai/Pixtral-12B-2409\n\nchat_template: pixtral\n\n\nLlava-1.5\nbase_model: llava-hf/llava-1.5-7b-hf\n\nchat_template: llava\n\n\nMistral-Small-3.1\n\n\n\n\n\n\nTip\n\n\n\nPlease make sure to install vision lib via pip install 'mistral-common[opencv]==1.8.5'\n\n\nbase_model: mistralai/Mistral-Small-3.1-24B-Instruct-2503\n\n\nMagistral-Small-2509\n\n\n\n\n\n\nTip\n\n\n\nPlease make sure to install vision lib via pip install 'mistral-common[opencv]==1.8.5'\n\n\nbase_model: mistralai/Magistral-Small-2509\n\n\nVoxtral\n\n\n\n\n\n\nTip\n\n\n\nPlease make sure to install audio lib via pip3 install librosa==0.11.0 'mistral_common[audio]==1.8.3'\n\n\nbase_model: mistralai/Voxtral-Mini-3B-2507\n\n\nGemma-3\n\n\n\n\n\n\nTip\n\n\n\nThe Gemma3-1B model is a text-only model, so please train as regular text model.\n\n\nFor multi-modal 4B/12B/27B models, use the following config:\nbase_model: google/gemma-3-4b-it\n\nchat_template: gemma3\n\n\nGemma-3n\n\n\n\n\n\n\nWarning\n\n\n\nThe model’s initial loss and grad norm will be very high. We suspect this to be due to the Conv in the vision layers.\n\n\n\n\n\n\n\n\nTip\n\n\n\nPlease make sure to install timm via pip3 install timm==1.0.17\n\n\nbase_model: google/gemma-3n-E2B-it\n\nchat_template: gemma3n\n\n\nQwen2-VL\nbase_model: Qwen/Qwen2-VL-7B-Instruct\n\nchat_template: qwen2_vl\n\n\nQwen2.5-VL\nbase_model: Qwen/Qwen2.5-VL-7B-Instruct\n\nchat_template: qwen2_vl  # same as qwen2-vl\n\n\nSmolVLM2\n\n\n\n\n\n\nTip\n\n\n\nPlease make sure to install num2words via pip3 install num2words==0.5.14\n\n\nbase_model: HuggingFaceTB/SmolVLM2-500M-Video-Instruct\n\n\nLFM2-VL\n\n\n\n\n\n\nWarning\n\n\n\nPlease uninstall causal-conv1d via pip3 uninstall -y causal-conv1d\n\n\nbase_model: LiquidAI/LFM2-VL-450M",
     "crumbs": [
       "How To Guides",
       "MultiModal / Vision Language Models (BETA)"
@@ -3368,14 +3368,14 @@
     "href": "docs/api/core.datasets.transforms.chat_builder.html",
     "title": "core.datasets.transforms.chat_builder",
     "section": "",
-    "text": "core.datasets.transforms.chat_builder\nThis module contains a function that builds a transform that takes a row from the\ndataset and converts it to a Chat.\n\n\n\n\n\nName\nDescription\n\n\n\n\nchat_message_transform_builder\nBuilds a transform that takes a row from the dataset and converts it to a Chat\n\n\n\n\n\ncore.datasets.transforms.chat_builder.chat_message_transform_builder(\n    train_on_inputs=False,\n    conversations_field='conversations',\n    message_field_role=None,\n    message_field_content=None,\n    message_field_training=None,\n)\nBuilds a transform that takes a row from the dataset and converts it to a Chat\n\n\n\n\n\n\n\n\n\n\n\nName\nType\nDescription\nDefault\n\n\n\n\ntrain_on_inputs\nbool\nIf True, the transform will train on the inputs. If False, the transform will train on the targets. Defaults to False.\nFalse\n\n\nconversations_field\nstr\nThe field name of the conversations. Defaults to “conversations”.\n'conversations'\n\n\nmessage_field_role\nstr | list[str]\nThe field name of the role. Defaults to “role”.\nNone\n\n\nmessage_field_content\nstr | list[str]\nThe field name of the message content. Defaults to “content”.\nNone\n\n\nmessage_field_training\nstr | list[str]\nThe field name of the train/weight. Defaults to “weight”.\nNone\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nName\nType\nDescription\n\n\n\n\nCallable\n\nA function that takes a list of conversations and returns a list of messages."
+    "text": "core.datasets.transforms.chat_builder\nThis module contains a function that builds a transform that takes a row from the\ndataset and converts it to a Chat.\n\n\n\n\n\nName\nDescription\n\n\n\n\nchat_message_transform_builder\nBuilds a transform that takes a row from the dataset and converts it to a Chat\n\n\n\n\n\ncore.datasets.transforms.chat_builder.chat_message_transform_builder(\n    train_on_inputs=False,\n    conversations_field='messages',\n    message_field_role=None,\n    message_field_content=None,\n    message_field_training=None,\n)\nBuilds a transform that takes a row from the dataset and converts it to a Chat\n\n\n\n\n\n\n\n\n\n\n\nName\nType\nDescription\nDefault\n\n\n\n\ntrain_on_inputs\nbool\nIf True, the transform will train on the inputs. If False, the transform will train on the targets. Defaults to False.\nFalse\n\n\nconversations_field\nstr\nThe field name of the conversations. Defaults to “messages”.\n'messages'\n\n\nmessage_field_role\nstr | list[str]\nThe field name of the role.\nNone\n\n\nmessage_field_content\nstr | list[str]\nThe field name of the message content.\nNone\n\n\nmessage_field_training\nstr | list[str]\nThe field name of the train/weight.\nNone\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nName\nType\nDescription\n\n\n\n\nCallable\n\nA function that takes a list of conversations and returns a list of messages."
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     "section": "",
-    "text": "Name\nDescription\n\n\n\n\nchat_message_transform_builder\nBuilds a transform that takes a row from the dataset and converts it to a Chat\n\n\n\n\n\ncore.datasets.transforms.chat_builder.chat_message_transform_builder(\n    train_on_inputs=False,\n    conversations_field='conversations',\n    message_field_role=None,\n    message_field_content=None,\n    message_field_training=None,\n)\nBuilds a transform that takes a row from the dataset and converts it to a Chat\n\n\n\n\n\n\n\n\n\n\n\nName\nType\nDescription\nDefault\n\n\n\n\ntrain_on_inputs\nbool\nIf True, the transform will train on the inputs. If False, the transform will train on the targets. Defaults to False.\nFalse\n\n\nconversations_field\nstr\nThe field name of the conversations. Defaults to “conversations”.\n'conversations'\n\n\nmessage_field_role\nstr | list[str]\nThe field name of the role. Defaults to “role”.\nNone\n\n\nmessage_field_content\nstr | list[str]\nThe field name of the message content. Defaults to “content”.\nNone\n\n\nmessage_field_training\nstr | list[str]\nThe field name of the train/weight. Defaults to “weight”.\nNone\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nName\nType\nDescription\n\n\n\n\nCallable\n\nA function that takes a list of conversations and returns a list of messages."
+    "text": "Name\nDescription\n\n\n\n\nchat_message_transform_builder\nBuilds a transform that takes a row from the dataset and converts it to a Chat\n\n\n\n\n\ncore.datasets.transforms.chat_builder.chat_message_transform_builder(\n    train_on_inputs=False,\n    conversations_field='messages',\n    message_field_role=None,\n    message_field_content=None,\n    message_field_training=None,\n)\nBuilds a transform that takes a row from the dataset and converts it to a Chat\n\n\n\n\n\n\n\n\n\n\n\nName\nType\nDescription\nDefault\n\n\n\n\ntrain_on_inputs\nbool\nIf True, the transform will train on the inputs. If False, the transform will train on the targets. Defaults to False.\nFalse\n\n\nconversations_field\nstr\nThe field name of the conversations. Defaults to “messages”.\n'messages'\n\n\nmessage_field_role\nstr | list[str]\nThe field name of the role.\nNone\n\n\nmessage_field_content\nstr | list[str]\nThe field name of the message content.\nNone\n\n\nmessage_field_training\nstr | list[str]\nThe field name of the train/weight.\nNone\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nName\nType\nDescription\n\n\n\n\nCallable\n\nA function that takes a list of conversations and returns a list of messages."
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     https://docs.axolotl.ai/docs/api/prompt_strategies.dpo.zephyr.html
-    2025-09-23T04:34:52.295Z
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     https://docs.axolotl.ai/docs/api/kernels.geglu.html
-    2025-09-23T04:34:52.439Z
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-    2025-09-23T04:34:52.599Z
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-    2025-09-23T04:34:53.057Z
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     https://docs.axolotl.ai/docs/api/core.trainers.grpo.sampler.html
-    2025-09-23T04:34:52.074Z
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-    2025-09-23T04:34:52.009Z
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-    2025-09-23T04:34:51.991Z
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     https://docs.axolotl.ai/docs/api/utils.collators.core.html
-    2025-09-23T04:34:52.973Z
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-    2025-09-23T04:34:52.946Z
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-    2025-09-23T04:34:51.946Z
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-    2025-09-23T04:34:52.458Z
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-    2025-09-23T04:34:53.053Z
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     https://docs.axolotl.ai/docs/api/monkeypatch.data.batch_dataset_fetcher.html
-    2025-09-23T04:34:52.538Z
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     https://docs.axolotl.ai/docs/api/core.trainers.mixins.optimizer.html
-    2025-09-23T04:34:52.118Z
+    2025-09-23T14:25:50.601Z
   
   
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-    2025-09-23T04:34:52.095Z
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     https://docs.axolotl.ai/docs/api/core.trainers.utils.html
-    2025-09-23T04:34:52.076Z
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     https://docs.axolotl.ai/docs/api/prompt_strategies.dpo.chat_template.html
-    2025-09-23T04:34:52.273Z
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     https://docs.axolotl.ai/docs/api/prompt_tokenizers.html
-    2025-09-23T04:34:51.723Z
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     https://docs.axolotl.ai/docs/api/utils.callbacks.comet_.html
-    2025-09-23T04:34:53.061Z
+    2025-09-23T14:25:51.543Z
   
   
     https://docs.axolotl.ai/docs/api/core.datasets.transforms.chat_builder.html
-    2025-09-23T04:34:51.801Z
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-    2025-09-23T04:34:52.616Z
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-    2025-09-23T04:34:51.843Z
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     https://docs.axolotl.ai/docs/api/integrations.lm_eval.args.html
-    2025-09-23T04:34:52.950Z
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     https://docs.axolotl.ai/docs/api/prompt_strategies.messages.chat.html
-    2025-09-23T04:34:52.272Z
+    2025-09-23T14:25:50.755Z
   
   
     https://docs.axolotl.ai/docs/api/utils.schemas.peft.html
-    2025-09-23T04:34:52.759Z
+    2025-09-23T14:25:51.242Z
   
   
     https://docs.axolotl.ai/docs/api/prompt_strategies.bradley_terry.llama3.html
-    2025-09-23T04:34:52.341Z
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-    2025-09-23T04:34:51.980Z
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     https://docs.axolotl.ai/docs/api/prompt_strategies.stepwise_supervised.html
-    2025-09-23T04:34:52.250Z
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     https://docs.axolotl.ai/docs/api/common.datasets.html
-    2025-09-23T04:34:52.971Z
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     https://docs.axolotl.ai/docs/api/prompt_strategies.kto.user_defined.html
-    2025-09-23T04:34:52.316Z
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     https://docs.axolotl.ai/docs/optimizers.html
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     https://docs.axolotl.ai/docs/multi-gpu.html
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     https://docs.axolotl.ai/docs/dataset_preprocessing.html
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     https://docs.axolotl.ai/docs/torchao.html
-    2025-09-23T04:31:24.843Z
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     https://docs.axolotl.ai/docs/config-reference.html
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     https://docs.axolotl.ai/docs/rlhf.html
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     https://docs.axolotl.ai/docs/cli.html
-    2025-09-23T04:31:24.838Z
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     https://docs.axolotl.ai/docs/fsdp_qlora.html
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     https://docs.axolotl.ai/src/axolotl/integrations/cut_cross_entropy/ACKNOWLEDGEMENTS.html
-    2025-09-23T04:31:24.864Z
+    2025-09-23T14:22:24.605Z
   
   
     https://docs.axolotl.ai/index.html
-    2025-09-23T04:31:24.859Z
+    2025-09-23T14:22:24.601Z
   
 


 
 






 
 
 

 

 conversations_field
 strThe field name of the conversations. Defaults to “conversations”.'conversations'The field name of the conversations. Defaults to “messages”.'messages'
 

 

 message_field_role
 str | list[str]The field name of the role. Defaults to “role”.The field name of the role.
 None
 

 

 message_field_content
 str | list[str]The field name of the message content. Defaults to “content”.The field name of the message content.
 None
 

 

 message_field_training
 str | list[str]The field name of the train/weight. Defaults to “weight”.The field name of the train/weight.
 None