Tool Information
FreeWilly2 is an open-source AI model developed by Stability AI and fine-tuned with the Llama2 70B dataset. It is a language model that uses auto-regressive techniques to generate text. The model is trained using supervised fine-tuning on an internal Orca-style dataset.Users can interact with FreeWilly2 by starting a conversation using a specific prompt format, which includes a system prompt, a user prompt, and an assistant response. The model can generate responses based on the given prompts.FreeWilly2 is implemented using the HuggingFace Transformers library and is available under the Non-Commercial Creative Commons license (CC BY-NC-4.0). It is intended for research purposes only.However, it's important to note that while the Llama2 dataset helps mitigate biases and toxicity in the generated text, not all biases can be eliminated through fine-tuning. Users should be aware of potential issues and not treat the model outputs as a substitute for human judgment or a source of truth. Responsible usage is strongly encouraged.For further information or inquiries about the model, users can contact Stability AI via email at [email protected] . Citations for the Llama2 dataset and the Orca-style training methodology are provided for academic references.
F.A.Q (18)
FreeWilly2 is an open-source AI language model developed by Stability AI and fine-tuned with the Llama2 70B dataset. FreeWilly2 utilizes auto-regressive techniques to generate text. The model is designed to generate responses based on given prompts, and it's used mainly for chat generation with chatbots.
FreeWilly2 was developed by Stability AI.
The Llama2 70B dataset is an extensive dataset used to fine-tune models like FreeWilly2. While the specifics of the dataset content are not detailed, it plays a crucial role in mitigating biases and toxicity in the generated text.
FreeWilly2 generates text using supervised fine-tuning on an internal Orca-style dataset. This process allows FreeWilly2 to use auto-regressive methods for generating text based on the given prompts. Users interact with FreeWilly2 by starting a conversation with a specific prompt format.
The special prompt format for interacting with FreeWilly2 involves a system prompt, a user prompt, and an assistant response. An example is: '### System:You are Free Willy, an AI that follows instructions extremely well. Remember, be safe, and don't do anything illegal. ### User: Write me a poem please ### Assistant:'
FreeWilly2 uses auto-regressive techniques to generate text. These techniques are applied when the model is trained via supervised fine-tuning on an internal Orca-style dataset.
FreeWilly2 is implemented using the HuggingFace Transformers library.
FreeWilly2 is available under the Non-Commercial Creative Commons license (CC BY-NC-4.0) and is intended for research purposes only. Users are advised that not all biases and toxicity can be completely eliminated from the generated text despite fine-tuning. While outputs from the model can be instructive, they should not be treated as substitutes for human judgment or considered definitive sources of truth.
FreeWilly2 falls under the Non-Commercial Creative Commons license (CC BY-NC-4.0).
The Llama2 dataset helps mitigate biases and toxicity in the text generated by FreeWilly2. Despite this, users are advised that not all biases and toxicity can be fully eradicated through fine-tuning.
Training FreeWilly2 involves supervised fine-tuning on an internal Orca-style dataset. Details regarding this process are not explicitly mentioned.
FreeWilly2 supports the English language.
Users can contact Stability AI for further information about FreeWilly2 via email at [email protected].
The FreeWilly2 model can be utilized for research purposes by researchers who are studying language models, chatbots, or are interested in examining the model's responses to given prompts.
HuggingFace's Transformers library is used to implement FreeWilly2. It provides an infrastructure for creating and using transformer models.
FreeWilly2 was trained on several datasets including conceptofmind/cot_submix_original, conceptofmind/flan2021_submix_original, and conceptofmind/t0_submix_original.
Responsible usage' of FreeWilly2 is strongly encouraged. This means users should consider the model's limitations, particularly its potential biases and toxicity, and shouldn't treat its output as a substitute for human judgment or a source of truth.
To load the FreeWilly2 model, the HuggingFace Inference API can be used.
Pros and Cons
Pros
- Open-source
- Fine-tuned with Llama2 70B
- Auto-regressive techniques
- Supervised training
- Uses HuggingFace Transformers
- Non-Commercial Creative Commons license
- Biases mitigation
- Email support available
- Explicit prompt-based interaction
- Easy integration
- Low CPU memory usage
- Supports mixed precision training
- Optimized with AdamW
- Trained on Orca dataset
- Clear documentation for training procedure
- Clear citation provided
- Has usage example
- Internal dataset training
- Mitigated biases and toxicity
- Draws from diverse datasets
- Dataset usage transparency
- Contact support provided
- Academic usage supportive
- On-demand loading on Inference API
- Hosted inference API
- PyTorch implemented
- Causal Language Model
- Understands English language
- Multiple training phases
- Inference output customization
- Encourages responsible usage
- Detailed model description
- Easy model deployment
- Training procedure transparency
- Supports research purposes
- High community engagement
- Text generation capabilities
- Hard bias warnings
- Community editable model card
- Highly parameterized API
- Large batch size training
- Strong hyperparameters
- Version tracking
- Datasets for model training listed
- Use in Transformers option
- JSON output support
- Can output text narratives
- Easy-to-use with code snippets
- Explicit limitations and bias handling
- Addresses potential issues
- Special care about safety
Cons
- Specific prompt format required
- Potential language biases
- Not a source of truth
- Intended for research only
- No commercial use due to CC BY-NC 4.0 license
- Only in English
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