FocusMix 7B
This is a model created by merging several powerful language models:
- Base Model: Qwen/Qwen2-7B
- Merge Stock:
FocusMix inherits the strengths of its component models, resulting in a model with:
- Enhanced Focus: FocusMix leverages the fine-tuning and instruction-following capabilities of Replete-LLM, Arcee-Spark, and Einstein-v7, leading to improved accuracy and coherence in task-specific responses.
- Broader Knowledge Base: The diverse training datasets of the merged models provide FocusMix with a wider range of knowledge and abilities, making it more versatile and capable of handling a wider variety of prompts and tasks.
- Improved Reasoning and Problem-Solving: The inclusion of Calme-2.8, known for its reasoning and problem-solving abilities, enhances FocusMix's capacity for logical deduction and complex task execution.
Purpose: aims to provide a powerful and versatile language model that excels in:
- Task-Specific Instructions: FocusMix can effectively follow specific instructions and complete tasks with high accuracy.
- Complex Reasoning: The model can handle intricate prompts requiring logical deduction and problem-solving.
- Diverse Knowledge Domains: FocusMix can engage in conversations and provide information across a wide range of topics.
Configuration
The following YAML configuration was used to produce this model:
merge_method: model_stock
base_model: Qwen/Qwen2-7B
models:
- model: Replete-AI/Replete-LLM-Qwen2-7b
- model: arcee-ai/Arcee-Spark
- model: Weyaxi/Einstein-v7-Qwen2-7B
- model: MaziyarPanahi/calme-2.8-qwen2-7b
dtype: bfloat16
tokenizer_source: base