Llamaverse 8B
A Unified Multidisciplinary Language Model
Llamaverse-3.1-8B-Instruct is a state-of-the-art language model built on the foundation of MathCoder2-Llama-3-8B, pretrained on MathCode-Pile. This dataset, which embeds mathematical reasoning steps in natural language and code, provides a rock-solid foundation for advanced logical reasoning. By merging MathCoder2 with 10 specialized models using the Model Stock merge method, Llamaverse-3.1-8B-Instruct becomes an unparalleled polymath, excelling in mathematics, biomedical diagnostics, storytelling, coding, and more.
This model was merged using the Model Stock merge method using MathGenie/MathCoder2-Llama-3-8B as a base.
This model works amazing with the Divine Intellect preset!
Models Merged
The following models were included in the merge:
- ruslandev/llama-3-8b-samantha
- nvidia/OpenMath2-Llama3.1-8B
- NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS
- TsinghuaC3I/Llama-3.1-8B-UltraMedical
- tohur/natsumura-storytelling-rp-1.0-llama-3.1-8b
- Skywork/Skywork-o1-Open-Llama-3.1-8B
- Undi95/Llama-3-LewdPlay-8B
- Locutusque/Hercules-6.1-Llama-3.1-8B
- RefuelAI/Llama-3-Refueled
- rombodawg/Llama-3-8B-Instruct-Coder
Model Stock Merge Ensures balanced integration of diverse expertise without dominance by any single model.
Multidisciplinary Expertise
Llamaverse-3.1-8B-Instruct integrates the strengths of 10 specialized models, including:
- ruslandev/llama-3-8b-samantha: Empathetic and human-like interaction capabilities.
- nvidia/OpenMath2-Llama3.1-8B: Advanced mathematical problem-solving.
- NeverSleep/Llama-3-Lumimaid-8B: Creative storytelling and roleplay.
- TsinghuaC3I/Llama-3.1-8B-UltraMedical: Clinical-grade biomedical insights.
- tohur/natsumura-storytelling-rp: Immersive narrative generation.
- Skywork/Skywork-o1-Open-Llama-3.1-8B: Reflective reasoning and complex problem-solving.
- Undi95/Llama-3-LewdPlay-8B: Unconventional creativity and boundary-pushing dialogue.
- Locutusque/Hercules-6.1-Llama-3.1-8B: Expertise in physics, biology, chemistry, and engineering.
- RefuelAI/Llama-3-Refueled: Robust NLP capabilities for classification and entity extraction.
- rombodawg/Llama-3-8B-Instruct-Coder: Efficient coding and software development.
Ethical Considerations
Llamaverse-3.1-8B-Instruct must be used responsibly. Users should:
- Avoid deploying the model in high-stakes scenarios without human oversight.
- Be mindful of potential biases and ethical concerns, particularly in sensitive applications.
- Use the model’s creative and unconventional capabilities responsibly.
Configuration
The following YAML configuration was used to produce this model:
models:
- model: nvidia/OpenMath2-Llama3.1-8B
- model: Locutusque/Hercules-6.1-Llama-3.1-8B
- model: RefuelAI/Llama-3-Refueled
- model: Undi95/Llama-3-LewdPlay-8B
- model: ruslandev/llama-3-8b-samantha
- model: rombodawg/Llama-3-8B-Instruct-Coder
- model: Skywork/Skywork-o1-Open-Llama-3.1-8B
- model: NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS
- model: TsinghuaC3I/Llama-3.1-8B-UltraMedical
- model: tohur/natsumura-storytelling-rp-1.0-llama-3.1-8b
merge_method: model_stock
base_model: MathGenie/MathCoder2-Llama-3-8B
dtype: bfloat16
Built by merging models from MathGenie, ruslandev, nvidia, NeverSleep, TsinghuaC3I, tohur, Skywork, Undi95, Locutusque, RefuelAI, and rombodawg. Released under the Llama 3.1 Community License.
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard61.850
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard34.780
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard18.430
- acc_norm on GPQA (0-shot)Open LLM Leaderboard5.480
- acc_norm on MuSR (0-shot)Open LLM Leaderboard8.420
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard28.030