DeepSeek: R1 Distill Llama 8B

DeepSeek R1 Distill Llama 8B, a distilled large language model based on Llama-3.1-8B-Instruct, demonstrates a compelling balance of performance and cost-efficiency. While its speed ranking places it among the slower models (8th percentile), it consistently offers highly competitive pricing (84th percentile), making it a cost-effective option for various applications. In terms of benchmark performance, the model exhibits notable strengths in specific areas. It achieves a respectable 81.0% accuracy in the "Coding (Baseline)" benchmark, placing it in the 56th percentile, and performs well in "Reasoning (Baseline)" with 66.0% accuracy (62nd percentile). These results, coupled with impressive AIME 2024 pass@1 (50.4) and MATH-500 pass@1 (89.1) scores, highlight its capabilities in complex problem-solving and technical domains. However, the model shows weaknesses in "Ethics (Baseline)" and "Email Classification (Baseline)," with accuracy scores of 74.0% (22nd percentile) and 92.0% (22nd percentile) respectively. Its "General Knowledge (Baseline)" performance is also modest at 72.8% accuracy (25th percentile). Despite these areas for improvement, its overall competitive performance, particularly in coding and reasoning, combined with its cost-effectiveness, positions DeepSeek R1 Distill Llama 8B as a valuable option for applications where budget and specific technical proficiencies are key considerations.