AbacusResearch/haLLAwa3 is a 7 billion parameter language model, merged from openchat/openchat-3.5-0106 and machinists/Mistral-7B-SQL, designed for delivering precise and immediate direct answers. It excels in document understanding and prompt comprehension, achieving an average score of 71.34 on the Open LLM Leaderboard. This model is optimized for use cases demanding high accuracy and immediacy, particularly within its size class.
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haLLAwa3: Expertise and Precision for 7B Models
AbacusResearch/haLLAwa3 is a 7 billion parameter language model created by merging openchat/openchat-3.5-0106 and machinists/Mistral-7B-SQL using mergekit. This model is specifically engineered to provide precise and immediate direct answers, making it highly effective for tasks requiring accuracy and quick responses.
Key Capabilities & Performance
- Direct Answer Generation: Optimized for delivering accurate and immediate responses.
- Document Understanding: Excels in comprehending and extracting information from documents.
- Prompt Comprehension: Demonstrates strong performance in understanding and responding to prompts.
- Open LLM Leaderboard Score: Achieved an average score of 71.34 on the Open LLM Leaderboard, with notable scores including:
- AI2 Reasoning Challenge (25-Shot): 67.83
- HellaSwag (10-Shot): 87.02
- MMLU (5-Shot): 64.23
- TruthfulQA (0-shot): 63.71
- Winogrande (5-shot): 80.51
- GSM8k (5-shot): 64.75
Ideal Use Cases
- Customer Service: Enhancing automated support with precise answers.
- Research: Accelerating information retrieval and analysis.
- Decision-Making Support: Providing immediate and accurate data for critical decisions.
- Applications requiring high accuracy and immediacy: Suited for scenarios where direct and reliable information is paramount.