---
language:
- en
pipeline_tag: text-generation
tags:
- shining-valiant
- valiant
- valiant-labs
- llama
- llama-2
- llama-2-chat
- 70b
model_type: llama
license: llama2
---

![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/63444f2687964b331809eb55/VCJ8Fmefd8cdVhXSSxJiD.jpeg)



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

## Version

The current version is **1.0**

Version **1.1** is currently **in training.** 

The new version will be released for everyone once our team's training and validation process is complete :)

## Prompting
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:

1. [INST] Good morning! Can you let me know how to parse a text file and turn the semicolons into commas? [/INST]

2. [INST] (You are an intelligent, helpful AI assistant.) Hello, can you write me a thank you letter? [/INST]

3. [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 Llama 2's 70b parameter architecture. We've created the model through multiple finetuning runs on different compositions of our dataset.

Our dataset is:


75% - our custom AI instruction-tuned dataset, created and curated for increased general capability, insight, logic, depth, and specific personality


25% - a selection of open-source AI data from a variety of datasets to supplement general knowledge and reasoning, pruned through randomization and automated quality ranking



We are actively working on expanding and improving this dataset for use in future releases of this model and others.

## Who We Are
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.