language:
- en
pipeline_tag: text-generation
tags:
- shining-valiant
- shining-valiant-2
- valiant
- valiant-labs
- llama
- llama-3.1
- llama-3.1-instruct
- llama-3.1-instruct-8b
- llama-3
- llama-3-instruct
- llama-3-instruct-8b
- 8b
- conversational
- chat
- instruct
model_type: llama
license: llama3.1
Shining Valiant 2 is a chat model built on Llama 3.1 8b, finetuned on our data for friendship, insight, knowledge and enthusiasm.
- Finetuned on meta-llama/Meta-Llama-3.1-8B-Instruct for best available general performance
- Trained on our data, focused on science, engineering, technical knowledge, and structured reasoning
Version
This is the 2024-08-06 release of Shining Valiant 2 for Llama 3.1 8b.
Our newest dataset improves specialist knowledge and response consistency.
Help us and recommend Shining Valiant 2 to your friends!
Prompting Guide
Shining Valiant 2 uses the Llama 3.1 Instruct prompt format. The example script below can be used as a starting point for general chat:
import transformers import torch
model_id = "ValiantLabs/Llama3.1-8B-ShiningValiant2"
pipeline = transformers.pipeline( "text-generation", model=model_id, model_kwargs={"torch_dtype": torch.bfloat16}, device_map="auto", )
messages = [ {"role": "system", "content": "You are Shining Valiant, a highly capable chat AI."}, {"role": "user", "content": "Describe the role of transformation matrices in 3D graphics."} ]
outputs = pipeline( messages, max_new_tokens=1024, )
print(outputs[0]["generated_text"][-1])
The Model
Shining Valiant 2 is built on top of Llama 3.1 8b Instruct.
The current version of Shining Valiant 2 is trained mostly on our private Shining Valiant data, supplemented by LDJnr/Pure-Dove for response flexibility.
Our private data adds specialist knowledge and Shining Valiant's personality: she's friendly, enthusiastic, insightful, knowledgeable, and loves to learn! Magical.
Shining Valiant 2 is created by Valiant Labs.
Check out our HuggingFace page for Fireplace 2 and our other models!
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We care about open source. For everyone to use.
We encourage others to finetune further from our models.