Text Generation
GGUF
English
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
Eval Results
Inference Endpoints
language: | |
- 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/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: 69.85 | |
name: acc | |
- task: | |
type: text-generation | |
name: Text Generation | |
dataset: | |
name: ARC Challenge (25-Shot) | |
type: arc_challenge | |
args: | |
num_few_shot: 25 | |
metrics: | |
- type: acc_norm | |
value: 46.25 | |
name: normalized accuracy | |
- 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: 56.25 | |
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: 63.55 | |
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: 41.0 | |
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: 41.38 | |
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: 34.31 | |
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 College Computer Science (5-shot) | |
type: mmlu | |
args: | |
num_few_shot: 5 | |
metrics: | |
- type: acc | |
value: 48.0 | |
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: 58.0 | |
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: 45.54 | |
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 | |
[![QuantFactory Banner](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeiuCm7c8lEwEJuRey9kiVZsRn2W-b4pWlu3-X534V3YmVuVc2ZL-NXg2RkzSOOS2JXGHutDuyyNAUtdJI65jGTo8jT9Y99tMi4H4MqL44Uc5QKG77B0d6-JfIkZHFaUA71-RtjyYZWVIhqsNZcx8-OMaA?key=xt3VSDoCbmTY7o-cwwOFwQ)](https://hf.co/QuantFactory) | |
# QuantFactory/Llama3.2-3B-ShiningValiant2-GGUF | |
This is quantized version of [ValiantLabs/Llama3.2-3B-ShiningValiant2](https://huggingface.co/ValiantLabs/Llama3.2-3B-ShiningValiant2) created using llama.cpp | |
# Original Model Card | |
![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/63444f2687964b331809eb55/EXX7TKbB-R6arxww2mk0R.jpeg) | |
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](https://huggingface.co/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 | |
Shining Valiant 2 is also available for [Llama 3.1 8b.](https://huggingface.co/ValiantLabs/Llama3.1-8B-ShiningValiant2) | |
## 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](https://huggingface.co/datasets/sequelbox/Celestia). 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](https://huggingface.co/meta-llama/Llama-3.2-3B-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](https://huggingface.co/datasets/sequelbox/Celestia) and general chat capability using [sequelbox/Supernova.](https://huggingface.co/datasets/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!) | |
![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/63444f2687964b331809eb55/VCJ8Fmefd8cdVhXSSxJiD.jpeg) | |
Shining Valiant 2 is created by [Valiant Labs.](http://valiantlabs.ca/) | |
[Check out our HuggingFace page for our open-source Build Tools models, including the newest version of code-specialist Enigma!](https://huggingface.co/ValiantLabs) | |
[Follow us on X for updates on our models!](https://twitter.com/valiant_labs) | |
We care about open source. | |
For everyone to use. | |
We encourage others to finetune further from our models. | |