Triangle104/Llama3.2-3B-ShiningValiant2-Q4_K_M-GGUF

This model was converted to GGUF format from ValiantLabs/Llama3.2-3B-ShiningValiant2 using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.

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Model details:

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:

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!

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.

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Use with llama.cpp

Install llama.cpp through brew (works on Mac and Linux)

brew install llama.cpp

Invoke the llama.cpp server or the CLI.

CLI:

llama-cli --hf-repo Triangle104/Llama3.2-3B-ShiningValiant2-Q4_K_M-GGUF --hf-file llama3.2-3b-shiningvaliant2-q4_k_m.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo Triangle104/Llama3.2-3B-ShiningValiant2-Q4_K_M-GGUF --hf-file llama3.2-3b-shiningvaliant2-q4_k_m.gguf -c 2048

Note: You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo as well.

Step 1: Clone llama.cpp from GitHub.

git clone https://github.com/ggerganov/llama.cpp

Step 2: Move into the llama.cpp folder and build it with LLAMA_CURL=1 flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).

cd llama.cpp && LLAMA_CURL=1 make

Step 3: Run inference through the main binary.

./llama-cli --hf-repo Triangle104/Llama3.2-3B-ShiningValiant2-Q4_K_M-GGUF --hf-file llama3.2-3b-shiningvaliant2-q4_k_m.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo Triangle104/Llama3.2-3B-ShiningValiant2-Q4_K_M-GGUF --hf-file llama3.2-3b-shiningvaliant2-q4_k_m.gguf -c 2048