commit 031f1595e8314cdacd7a9cb1c934b7fd8868fb7e Author: ModelHub XC Date: Sun May 31 14:46:12 2026 +0800 初始化项目,由ModelHub XC社区提供模型 Model: remyxai/ffmperative-7b Source: Original Platform diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..4d61ec3 --- /dev/null +++ b/.gitattributes @@ -0,0 +1,51 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text + + +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ftz filter=lfs diff=lfs merge=lfs -text +*.gz filter=lfs diff=lfs merge=lfs -text +*.h5 filter=lfs diff=lfs merge=lfs -text +*.joblib filter=lfs diff=lfs merge=lfs -text +*.lfs.* filter=lfs diff=lfs merge=lfs -text + +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.onnx filter=lfs diff=lfs merge=lfs -text +*.ot filter=lfs diff=lfs merge=lfs -text +*.parquet filter=lfs diff=lfs merge=lfs -text +*.pb filter=lfs diff=lfs merge=lfs -text +*.pt filter=lfs diff=lfs merge=lfs -text +*.pth filter=lfs diff=lfs merge=lfs -text +*.rar filter=lfs diff=lfs merge=lfs -text +saved_model/**/* filter=lfs diff=lfs merge=lfs -text +*.tar.* filter=lfs diff=lfs merge=lfs -text +*.tflite filter=lfs diff=lfs merge=lfs -text +*.tgz filter=lfs diff=lfs merge=lfs -text +*.xz filter=lfs diff=lfs merge=lfs -text +*.zip filter=lfs diff=lfs merge=lfs -text +*.zstandard filter=lfs diff=lfs merge=lfs -text +*.tfevents* filter=lfs diff=lfs merge=lfs -text +*.db* filter=lfs diff=lfs merge=lfs -text +*.ark* filter=lfs diff=lfs merge=lfs -text +**/*ckpt*data* filter=lfs diff=lfs merge=lfs -text +**/*ckpt*.meta filter=lfs diff=lfs merge=lfs -text +**/*ckpt*.index filter=lfs diff=lfs merge=lfs -text +*.safetensors filter=lfs diff=lfs merge=lfs -text +*.ckpt filter=lfs diff=lfs merge=lfs -text +*.gguf* filter=lfs diff=lfs merge=lfs -text +*.ggml filter=lfs diff=lfs merge=lfs -text +*.llamafile* filter=lfs diff=lfs merge=lfs -text +*.pt2 filter=lfs diff=lfs merge=lfs -text +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs merge=lfs -text +*.pickle filter=lfs diff=lfs merge=lfs -text +*.pkl filter=lfs diff=lfs merge=lfs -text +*.tar filter=lfs diff=lfs merge=lfs -text +*.wasm filter=lfs diff=lfs merge=lfs -text +*.zst filter=lfs diff=lfs merge=lfs -text +*tfevents* filter=lfs diff=lfs merge=lfs -text + +pytorch_model-00002-of-00002.bin filter=lfs diff=lfs merge=lfs -text +tokenizer.model filter=lfs diff=lfs merge=lfs -text +pytorch_model-00001-of-00002.bin filter=lfs diff=lfs merge=lfs -text \ No newline at end of file diff --git a/README.md b/README.md new file mode 100644 index 0000000..759e430 --- /dev/null +++ b/README.md @@ -0,0 +1,124 @@ +--- +license: llama2 +--- + +# Model Card for FFMPerative-7B + +## Model Details + +This is a Llama 2 7B Large Language Model (LLM), fine-tuned specifically to automate video production workflows. +It is designed to interact with FFMPerative, a tool that leverages machine learning and the FFmpeg software suite to perform a variety of +video editing tasks using natural language input. + + +### Model Description + + +- **Developed by:** [remyx.ai] +- **Model type:** [LlaMA2-7B] +- **License:** [Meta] +- **Finetuned from model [optional]:** [LlaMA2] + +## Uses + +The main use case for this model is to assist in video editing tasks. +Users can leverage it to execute commands in natural language to FFMPerative for tasks such as cropping, resizing, rotating videos, +making gifs, adjusting audio levels, and many more. The model can be particularly useful for people without technical skills, +helping them interact with complex video editing tasks in a simplified, user-friendly manner. + +This checkpoint was fine-tuned on a subset of `HuggingFaceH4/CodeAlpaca_20K` augmented with 500 instances of FFMPerative Tool composition for +practical video editing workflows. + +The training instances are based on various video editing tasks and their corresponding commands in FFMPerative, with example questions and +answers demonstrating the interaction between a user and the video editing tool. +Please refer to the GitHub repository readme for more examples of the training data used. + +## Bias, Risks, and Limitations + +Please note that this model is designed for English language inputs and may not perform well with inputs in other languages. +Although this model can interpret and execute a wide range of commands, it might sometimes struggle with ambiguous instructions, +complex sequences of commands, or instructions for tasks that are not included in its training data. + +Please ensure you double-check the output of the model for critical tasks, and remember that it won't replace professional +video editors for more advanced video editing workflows. + +## How to Get Started with the Model + +Use the code below to get started. You can instantiate a local agent and pass additional tools: + +```python +import torch +from transformers import AutoModelForCausalLM, AutoTokenizer, LocalAgent, load_tool + +model = AutoModelForCausalLM.from_pretrained("remyxai/ffmperative", + device_map="auto", + torch_dtype=torch.bfloat16, + rope_scaling={"type": "dynamic", "factor": 2.0}, + load_in_8bit=True) +tokenizer = AutoTokenizer.from_pretrained("remyxai/ffmperative") + +# More tools in our spaces: https://huggingface.co/remyxai +tools = [load_tool("remyxai/video-compression-tool"), load_tool("remyxai/video-frame-sample-tool")] + + +agent = LocalAgent(model, tokenizer, additional_tools=tools) +agent.run("Compress my video '/path/to/vid.mp4' and save it to '/path/to/compressed_vid.mp4'") +``` + + +## Training Details + +### Training Data + +Training data is a combination of [HuggingFaceH4/CodeAlpaca_20K](https://huggingface.co/datasets/HuggingFaceH4/CodeAlpaca_20K) and our custom generated data reflecting the tools available in ffmperative - [remyxai/ffmperative](https://huggingface.co/datasets/remyxai/ffmperative) + + +### Training Procedure + +Using Parameter Efficient Fine-Tuning (PEFT), according to this [guide](https://huggingface.co/blog/llama2#fine-tuning-with-peft), we fine-tuned +LlaMA2 with this [script](https://github.com/lvwerra/trl/blob/main/examples/scripts/sft_trainer.py). + +## Evaluation + +We evaluated the model performance by measuring its ability to accurately interpret and execute video editing commands. +Due to the proprietary nature of the evaluation process, specific metrics are not available. + +The model generally performs well, but please report any inconsistencies or errors you encounter when using the model. +We appreciate your feedback and will use it to improve the model further. + + +### Model Architecture and Objective + +Meta's LlaMA2-7B + +## Citation [optional] + + + +**BibTeX:** + +[More Information Needed] + +**APA:** + +[More Information Needed] + +## Glossary [optional] + + + +[More Information Needed] + +## More Information [optional] + +[More Information Needed] + +## Model Card Authors [optional] + +[More Information Needed] + +## Model Card Contact + +[More Information Needed] + + diff --git a/config.json b/config.json new file mode 100644 index 0000000..df1a394 --- /dev/null +++ b/config.json @@ -0,0 +1,26 @@ +{ + "_name_or_path": "meta-llama/Llama-2-7b-hf", + "architectures": [ + "LlamaForCausalLM" + ], + "bos_token_id": 1, + "eos_token_id": 2, + "hidden_act": "silu", + "hidden_size": 4096, + "initializer_range": 0.02, + "intermediate_size": 11008, + "max_position_embeddings": 4096, + "model_type": "llama", + "num_attention_heads": 32, + "num_hidden_layers": 32, + "num_key_value_heads": 32, + "pad_token_id": 0, + "pretraining_tp": 1, + "rms_norm_eps": 1e-05, + "rope_scaling": null, + "tie_word_embeddings": false, + "torch_dtype": "float16", + "transformers_version": "4.32.0.dev0", + "use_cache": true, + "vocab_size": 32000 +} diff 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