Instructions to use dawoz/idefics2-frozenlake with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dawoz/idefics2-frozenlake with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Training in progress, step 120
Browse files- README.md +11 -9
- adapter_config.json +5 -2
- adapter_model.safetensors +1 -1
- generation_config.json +2 -13
- runs/Jul31_15-43-03_ananke/events.out.tfevents.1722433386.ananke.31988.0 +3 -0
- training_args.bin +2 -2
README.md
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---
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base_model: HuggingFaceM4/
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tags:
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model-index:
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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#
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This model is a fine-tuned version of [HuggingFaceM4/
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## Model description
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### Framework versions
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base_model: HuggingFaceM4/idefics-9b-instruct
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library_name: peft
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license: other
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tags:
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model-index:
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- name: idefics-frozenlake
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# idefics-frozenlake
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This model is a fine-tuned version of [HuggingFaceM4/idefics-9b-instruct](https://huggingface.co/HuggingFaceM4/idefics-9b-instruct) on an unknown dataset.
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## Model description
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### Framework versions
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- PEFT 0.12.0
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- Transformers 4.44.2
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- Pytorch 2.4.0+cu121
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- Datasets 2.16.1
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- Tokenizers 0.19.1
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adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping":
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"base_model_name_or_path": "HuggingFaceM4/idefics2-8b",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode":
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"init_lora_weights": "gaussian",
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"layer_replication": null,
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"layers_pattern": null,
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{
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"alpha_pattern": {},
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"auto_mapping": {
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"base_model_class": "Idefics2ForConditionalGeneration",
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"parent_library": "transformers.models.idefics2.modeling_idefics2"
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},
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"base_model_name_or_path": "HuggingFaceM4/idefics2-8b",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": "gaussian",
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"layer_replication": null,
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"layers_pattern": null,
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adapter_model.safetensors
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 1,
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"transformers_version": "4.44.2"
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runs/Jul31_15-43-03_ananke/events.out.tfevents.1722433386.ananke.31988.0
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training_args.bin
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