Text Generation
Safetensors
English
llama
shining-valiant
shining-valiant-2
valiant
valiant-labs
llama-3.1
llama-3.1-instruct
llama-3.1-instruct-70b
llama-3
llama-3-instruct
llama-3-instruct-70b
70b
science
physics
biology
chemistry
compsci
computer-science
engineering
logic
rationality
advanced
expert
technical
conversational
chat
instruct
Eval Results
| 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-70b | |
| - llama-3 | |
| - llama-3-instruct | |
| - llama-3-instruct-70b | |
| - 70b | |
| - science | |
| - physics | |
| - biology | |
| - chemistry | |
| - compsci | |
| - computer-science | |
| - engineering | |
| - logic | |
| - rationality | |
| - advanced | |
| - expert | |
| - technical | |
| - conversational | |
| - chat | |
| - instruct | |
| base_model: meta-llama/Meta-Llama-3.1-70B-Instruct | |
| datasets: | |
| - sequelbox/Celestia | |
| - sequelbox/Spurline | |
| - sequelbox/Supernova | |
| model_type: llama | |
| model-index: | |
| - name: Llama3.1-70B-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: 84.93 | |
| 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: 93.75 | |
| 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: 91.94 | |
| 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: 81.70 | |
| 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: 60.78 | |
| 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: 62.91 | |
| 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: 55.00 | |
| 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: 75.86 | |
| 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: 89.47 | |
| 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: 66.00 | |
| 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: 53.55 | |
| name: strict accuracy | |
| source: | |
| url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ValiantLabs/Llama3.1-70B-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: 52.39 | |
| name: normalized accuracy | |
| source: | |
| url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ValiantLabs/Llama3.1-70B-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: 27.19 | |
| name: exact match | |
| source: | |
| url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ValiantLabs/Llama3.1-70B-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: 19.02 | |
| name: acc_norm | |
| source: | |
| url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ValiantLabs/Llama3.1-70B-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: 18.48 | |
| name: acc_norm | |
| source: | |
| url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ValiantLabs/Llama3.1-70B-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: 46.37 | |
| name: accuracy | |
| source: | |
| url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ValiantLabs/Llama3.1-70B-ShiningValiant2 | |
| name: Open LLM Leaderboard | |
| license: llama3.1 | |
|  | |
| Shining Valiant 2 is a chat model built on Llama 3.1 70b, finetuned on our data for friendship, insight, knowledge and enthusiasm. | |
| - Finetuned on [meta-llama/Meta-Llama-3.1-70B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-70B-Instruct) for best available general performance | |
| - Trained on a variety of high quality open source data; focused on science, engineering, technical knowledge, and structured reasoning | |
| - Also available for [Llama 3.1 8b](https://huggingface.co/ValiantLabs/Llama3.1-8B-ShiningValiant2) and [Llama 3.2 3b!](https://huggingface.co/ValiantLabs/Llama3.2-3B-ShiningValiant2) | |
| ## Version | |
| This is the **2024-10-30** release of Shining Valiant 2 for Llama 3.1 70b. | |
| This release uses our newest datasets, open-sourced for everyone's use, including our expanded [science-instruct dataset](https://huggingface.co/datasets/sequelbox/Celestia). This release features improvements in logical thinking and structured reasoning as well as physics, chemistry, biology, astronomy, Earth science, computer science, and information theory. | |
| 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](https://huggingface.co/meta-llama/Meta-Llama-3.1-70B-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/Llama3.1-70B-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": "What is the role of lysosomal enzymes in the regulation of cellular processes?"} | |
| ] | |
| 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 70b Instruct. | |
| The current version of Shining Valiant 2 is trained on technical knowledge using [sequelbox/Celestia](https://huggingface.co/datasets/sequelbox/Celestia), complex reasoning using [sequelbox/Spurline](https://huggingface.co/datasets/sequelbox/Spurline), and general chat capability using [sequelbox/Supernova.](https://huggingface.co/datasets/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.](http://valiantlabs.ca/) | |
| [Check out our HuggingFace page for our open-source Build Tools models, including code-specialist Enigma and DevOps-expert Esper 2!](https://huggingface.co/ValiantLabs) | |
| We care about open source. | |
| For everyone to use. | |
| We encourage others to finetune further from our models. |