Instructions to use mfarre/Video-LLaVA-7B-hf-CinePile with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mfarre/Video-LLaVA-7B-hf-CinePile with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Upload VideoLlavaForConditionalGeneration
Browse files- README.md +1 -1
- adapter_config.json +37 -0
- adapter_model.safetensors +3 -0
- generation_config.json +7 -0
README.md
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---
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-
license: apache-2.0
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datasets:
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- tomg-group-umd/cinepile
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language:
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- en
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---
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# Model Card for Video-LLaVA - CinePile fine tune
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---
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datasets:
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- tomg-group-umd/cinepile
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language:
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- en
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license: apache-2.0
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---
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# Model Card for Video-LLaVA - CinePile fine tune
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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_class": "VideoLlavaForConditionalGeneration",
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"parent_library": "transformers.models.video_llava.modeling_video_llava"
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},
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"base_model_name_or_path": "LanguageBind/Video-LLaVA-7B-hf",
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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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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 8,
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"lora_dropout": 0.1,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 8,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"down_proj",
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"k_proj",
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"gate_proj",
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"up_proj",
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"v_proj",
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"o_proj",
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"q_proj"
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],
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"task_type": null,
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"use_dora": false,
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"use_rslora": false
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}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:fb2c7495edb749854988da952bc21a0d17829ed5179ecd6a5ac038ce1562a796
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size 89502984
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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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"eos_token_id": 2,
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"pad_token_id": 32002,
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"transformers_version": "4.42.4"
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}
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