72B-preview-llamafied-qwen-llamafy
Maintainer: CausalLM
73
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| Property | Value |
|---|---|
| Model Link | View on HuggingFace |
| API Spec | View on HuggingFace |
| Github Link | No Github link provided |
| Paper Link | No paper link provided |
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Model overview
The 72B-preview-llamafied-qwen-llamafy model is a large language model created by CausalLM. It is a 72 billion parameter "chat model" that has been "llamafied" and is described as a preview version with no performance guarantees. This model is compatible with the Meta LLaMA 2 model and can be used with the transformers library to load the model and tokenizer.
The model was initialized from the Qwen 72B model and has gone through some training and editing, but details on the exact process are limited. It is available under a GPL3 license for this preview version, with the final version planned to be under a WTFPL license.
Model inputs and outputs
Inputs
- Freeform text prompts in the "chatml" format, which is a conversational format with markers for the start and end of the human and system messages.
Outputs
- Freeform text responses generated by the model in continuation of the provided prompt.
Capabilities
The 72B-preview-llamafied-qwen-llamafy model is a large language model capable of generating human-like text on a wide range of topics. It has been compared to the performance of other large models like GPT-4 and ChatGPT, but with the caveat that it is still a preview version with no guarantees about its performance.
What can I use it for?
This model could potentially be used for a variety of natural language processing tasks, such as:
- Chatbots and virtual assistants
- Content generation (e.g. articles, stories, product descriptions)
- Question answering
- Summarization
- Language translation
However, users should be cautious as the model was trained on unfiltered internet data, so the outputs may contain offensive or inappropriate content. It is recommended to implement your own safety and content filtering measures when using this model.
Things to try
One interesting aspect of this model is its compatibility with the Meta LLaMA 2 model. This means that the model architecture and training process are likely similar, which could allow for further fine-tuning or transfer learning between the two models.
Additionally, the use of the "chatml" format for inputs and outputs suggests that the model may be well-suited for conversational AI applications, where maintaining a coherent dialogue is important.
This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!
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