Text Generation
Safetensors
English
llama
shining-valiant
shining-valiant-2
valiant
valiant-labs
llama-3.1
llama-3.1-instruct
llama-3.1-instruct-8b
llama-3
llama-3-instruct
llama-3-instruct-8b
8b
science
physics
biology
chemistry
compsci
computer-science
engineering
technical
conversational
chat
instruct
Eval Results
metadata
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
- science
- physics
- biology
- chemistry
- compsci
- computer-science
- engineering
- technical
- conversational
- chat
- instruct
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
datasets:
- sequelbox/Celestia
- sequelbox/Supernova
model_type: llama
model-index:
- name: Llama3.1-8B-ShiningValiant2
results:
- task:
type: text-generation
name: Text Generation
dataset:
name: Winogrande (5-Shot)
type: Winogrande
args:
num_few_shot: 5
metrics:
- type: acc
value: 77.35
name: acc
- task:
type: text-generation
name: Text Generation
dataset:
name: MMLU College Biology (5-Shot)
type: MMLU
args:
num_few_shot: 5
metrics:
- type: acc
value: 76.39
name: acc
- task:
type: text-generation
name: Text Generation
dataset:
name: MMLU High School Biology (5-Shot)
type: MMLU
args:
num_few_shot: 5
metrics:
- type: acc
value: 79.03
name: acc
- task:
type: text-generation
name: Text Generation
dataset:
name: MMLU College Chemistry (5-Shot)
type: MMLU
args:
num_few_shot: 5
metrics:
- type: acc
value: 50
name: acc
- task:
type: text-generation
name: Text Generation
dataset:
name: MMLU High School Chemistry (5-Shot)
type: MMLU
args:
num_few_shot: 5
metrics:
- type: acc
value: 53.2
name: acc
- task:
type: text-generation
name: Text Generation
dataset:
name: MMLU College Physics (5-Shot)
type: MMLU
args:
num_few_shot: 5
metrics:
- type: acc
value: 43.14
name: acc
- task:
type: text-generation
name: Text Generation
dataset:
name: MMLU High School Physics (5-Shot)
type: MMLU
args:
num_few_shot: 5
metrics:
- type: acc
value: 42.38
name: acc
- task:
type: text-generation
name: Text Generation
dataset:
name: MMLU College Computer Science (5-Shot)
type: MMLU
args:
num_few_shot: 5
metrics:
- type: acc
value: 55
name: acc
- task:
type: text-generation
name: Text Generation
dataset:
name: MMLU High School Computer Science (5-Shot)
type: MMLU
args:
num_few_shot: 5
metrics:
- type: acc
value: 66
name: acc
- task:
type: text-generation
name: Text Generation
dataset:
name: MMLU STEM (5-Shot)
type: MMLU
args:
num_few_shot: 5
metrics:
- type: acc
value: 55.57
name: acc
- task:
type: text-generation
name: Text Generation
dataset:
name: IFEval (0-Shot)
type: HuggingFaceH4/ifeval
args:
num_few_shot: 0
metrics:
- type: inst_level_strict_acc and prompt_level_strict_acc
value: 65.24
name: strict accuracy
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ValiantLabs/Llama3.1-8B-ShiningValiant2
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: BBH (3-Shot)
type: BBH
args:
num_few_shot: 3
metrics:
- type: acc_norm
value: 26.35
name: normalized accuracy
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ValiantLabs/Llama3.1-8B-ShiningValiant2
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MATH Lvl 5 (4-Shot)
type: hendrycks/competition_math
args:
num_few_shot: 4
metrics:
- type: exact_match
value: 11.63
name: exact match
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ValiantLabs/Llama3.1-8B-ShiningValiant2
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: GPQA (0-shot)
type: Idavidrein/gpqa
args:
num_few_shot: 0
metrics:
- type: acc_norm
value: 8.95
name: acc_norm
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ValiantLabs/Llama3.1-8B-ShiningValiant2
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MuSR (0-shot)
type: TAUR-Lab/MuSR
args:
num_few_shot: 0
metrics:
- type: acc_norm
value: 7.19
name: acc_norm
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ValiantLabs/Llama3.1-8B-ShiningValiant2
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MMLU-PRO (5-shot)
type: TIGER-Lab/MMLU-Pro
config: main
split: test
args:
num_few_shot: 5
metrics:
- type: acc
value: 26.38
name: accuracy
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ValiantLabs/Llama3.1-8B-ShiningValiant2
name: Open LLM Leaderboard
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 a variety of our high quality open source data; focused on science, engineering, technical knowledge, and structured reasoning
- Also available for Llama 3.1 70b and Llama 3.2 3b!
Version
This is the 2024-09-16 release of Shining Valiant 2 for Llama 3.1 8b.
We've improved and open-sourced our new baseline science-instruct dataset. This release features improvements in physics, chemistry, biology, and computer science.
Future upgrades will continue to expand Shining Valiant's technical knowledge base.
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=2048,
)
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 on technical knowledge using sequelbox/Celestia and general chat capability using sequelbox/Supernova.
Our private data adds specialist knowledge and Shining Valiant's personality: she's friendly, enthusiastic, insightful, knowledgeable, and loves to learn! Magical. (As a general note: we're hoping to replace and open-source this part of Shining Valiant's dataset with synthetic data soon!)
Shining Valiant 2 is created by Valiant Labs.
Follow us on X for updates on our models!
We care about open source. For everyone to use.
We encourage others to finetune further from our models.