--- base_model: - deepseek-ai/DeepSeek-R1-Distill-Llama-8B - Skywork/Skywork-o1-Open-Llama-3.1-8B - NousResearch/DeepHermes-3-Llama-3-8B-Preview - O1-OPEN/OpenO1-LLama-8B-v0.1 - SimpleBerry/LLaMA-O1-Supervised-1129 - terrycraddock/Reflection-Llama-3.1-8B language: - en tags: - problem-solving - chain-of-thought - reasoning license: llama3.1 --- # Llama3.1-deep-o1 This is a merge of several DeepSeek R1 distilled and O1-style long chain-of-thought (CoT) large language models (LLMs). It is designed for generating long, coherent solutions and excels at problem-solving tasks among models with 8 billion parameters. ## Model Overview **Key Features:** - Generates detailed, manual-like explanations for complex questions. - Suitable for creating solution outlines, analyzing problems, and writing essays. **Limitations:** - Does not follow standard CoT formats like `` tags. - Prone to calculation errors and careless mistakes in reasoning. - Struggles with multiturn conversations and user alignment. - For example, it may ask questions mid-response but continue answering regardless, in line with its CoT origins. ## Merge Details The model was created using the following YAML configuration: ```yaml models: - model: deepseek-ai/DeepSeek-R1-Distill-Llama-8B parameters: weight: 1.5 - model: Skywork/Skywork-o1-Open-Llama-3.1-8B parameters: weight: 1.5 - model: NousResearch/DeepHermes-3-Llama-3-8B-Preview - model: O1-OPEN/OpenO1-LLama-8B-v0.1 - model: SimpleBerry/LLaMA-O1-Supervised-1129 - model: terrycraddock/Reflection-Llama-3.1-8B merge_method: linear parameters: weight: 1 dtype: bfloat16 ``` ## Usage Recommendations - To generate hints for scientific problem solving - As a foundation model for finetuning and merging ### Examples to Try: - Write the equations for glycolysis and pyruvate oxidation. - Calculate net ATP formation from glucose metabolism (excluding electron transport chain). - Integrate x^2 e^x dx. - Prove that the complete bipartite graph K_{3,3} isn't planar. - Derive a formula for the critical angle between two media with refractive indices n_1 and n_2. - Compare steam vs. diesel engines including their capabilities and historical significance. ### Notes on Performance: While the model provides coherent and expert-like responses, users should verify its outputs for accuracy - especially in calculations or logical reasoning tasks. ## Warning - This model is experimental and may require careful validation when used for critical applications. - It is not optimized for conversational tasks but performs well in single-turn question answering.