en license: llama3.2 tags:
shining-valiant
shining-valiant-2
valiant
valiant-labs
llama
llama-3.2
llama-3.2-instruct
llama-3.2-instruct-3b
llama-3
llama-3-instruct
llama-3-instruct-3b
3b
science
physics
biology
chemistry
compsci
computer-science
engineering
technical
conversational
chat
instruct base_model: meta-llama/Llama-3.2-3B-Instruct datasets:
sequelbox/Celestia
sequelbox/Spurline
sequelbox/Supernova pipeline_tag: text-generation model_type: llama model-index:
name: Llama3.2-3B-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: 69.14 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: 64.58 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: 70.32 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: 44.00 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: 50.25 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: 42.16 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: 35.76 name: acc
- task: type: text-generation name: Text Generation dataset: name: MMLU Conceptual Physics (5-shot) type: mmlu args: num_few_shot: 5 metrics:
  - type: acc value: 53.19 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: 53.00 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: 61.00 name: acc
- task: type: text-generation name: Text Generation dataset: name: MMLU Astronomy (5-shot) type: mmlu args: num_few_shot: 5 metrics:
  - type: acc value: 60.53 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: 48.9 name: strict accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ValiantLabs/Llama3.2-3B-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: 19.11 name: normalized accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ValiantLabs/Llama3.2-3B-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: 9.14 name: exact match source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ValiantLabs/Llama3.2-3B-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: 3.02 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ValiantLabs/Llama3.2-3B-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: 5.49 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ValiantLabs/Llama3.2-3B-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: 19.1 name: accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ValiantLabs/Llama3.2-3B-ShiningValiant2 name: Open LLM Leaderboard

Shining Valiant 2 is a chat model built on Llama 3.2 3b, finetuned on our data for friendship, insight, knowledge and enthusiasm.

Finetuned on meta-llama/Llama-3.2-3B-Instruct for best available general performance
Trained on a variety of high quality data; focused on science, engineering, technical knowledge, and structured reasoning
Also available for Llama 3.1 70b and Llama 3.1 8b!

Version

This is the 2024-09-27 release of Shining Valiant 2 for Llama 3.2 3b.

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 3.2 Instruct prompt format. The example script below can be used as a starting point for general chat:

python

import transformers
import torch

model_id = "ValiantLabs/Llama3.2-3B-ShiningValiant2"

pipeline = transformers.pipeline(
    "text-generation",
    model=model_id,
    model_kwargs={"torch_dtype": torch.bfloat16},
    device_map="auto",
)

messages = [
    {"role": "system", "content": "You are an AI assistant."},
    {"role": "user", "content": "Describe the use of chiral auxiliaries in organic synthesis."}
]

outputs = pipeline(
    messages,
    max_new_tokens=2048,
)

print(outputs[0]["generated_text"][-1])

The Model

Shining Valiant 2 is built on top of Llama 3.2 3b Instruct.

The current version of Shining Valiant 2 is trained on technical knowledge using sequelbox/Celestia, complex reasoning using sequelbox/Spurline, and general chat capability using sequelbox/Supernova.

We're super excited that Shining Valiant's dataset has been fully open-sourced! 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 our open-source Build Tools models, including the newest version of code-specialist Enigma!

We care about open source. For everyone to use.

We encourage others to finetune further from our models.

RichardErkhov/ValiantLabs_-_Llama3.2-3B-ShiningValiant2-4bits

Original model description:

Version

Prompting Guide

The Model

RichardErkhov/
ValiantLabs_-_Llama3.2-3B-ShiningValiant2-4bits