This model is legacy - we recommend Shining Valiant 2 for Llama 3.1 70b!
Shining Valiant is a chat model built on the Llama 2 architecture, finetuned on our data for insight, creativity, passion, and friendliness.
- Uses the llama-2-70b-chat model, with safetensors
- Finetuned on multiple runs across private and public data
- Data focused on knowledge, enthusiasm, and structured reasoning
- Our new release features greatly expanded personality capability, bringing a more immersive chat experience
Version
The current version is 1.4! We've greatly expanded our personality dataset and fixed some bugs to deliver our strongest real-chat experience so far.
(We're also exploring new models and architectures, to deliver helpful open source capabilities for users and creators!)
Previous versions remain available in the repository. New models will be released for everyone once our team's training and validation process is complete.
Evaluation
Version 1.4 is awaiting results from the Open LLM leaderboard.
Prompting Guide
Shining Valiant uses the same prompt format as Llama 2 Chat - feel free to use your existing prompts and scripts! A few examples of different formats:
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[INST] Good morning! Can you let me know how to parse a text file and turn the semicolons into commas? [/INST]
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[INST] (You are an intelligent, helpful AI assistant.) Hello, can you write me a thank you letter? [/INST]
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[INST] << SYS >>You are an intelligent, helpful AI assistant.<< /SYS >>Deep dive about a country with interesting history: [/INST]
The Model
Shining Valiant is built on top of Spell Blade, which uses Llama 2's 70b parameter architecture and features upgraded general and chat capability.
Our private data focuses primarily on applying Shining Valiant's personality: she's friendly, enthusiastic, insightful, knowledgeable, and loves to learn!
With this release, the personality component of our Shining Valiant dataset has been greatly improved. We're excited to use it in future releases of this model and others.
Shining Valiant is created by Valiant Labs.
We care about open source. For everyone to use.
We encourage others to finetune further from our models.