Drafters
Drafters are auxiliary models or mechanisms used in speculative-decoding to propose candidate tokens for a larger target model, aiming to accelerate inference speed while maintaining output quality.
Key Implementations & Benchmarks
Ternary Bonsai 27B vs. Qwen 27B
Recent analysis highlights the performance characteristics of ternary-bonsai-27b when configured with different drifter modes compared to qwen-36-27b-mtp.
- Configuration: Tested using Q4_1 (4-bit) and BF16 (16-bit) drifter modes.
- Comparison: Evaluated against Qwen 3.6 27B MTP in a 16GB local LLM setup.
- Analysis: Detailed benchmarking summary available at Ternary Bonsai 27B vs. Qwen 27B: LLM Performance Benchmarking Summary.
- Source: Luke’s Dev Lab video analysis [Ternary Bonsai 27B vs. Qwen 27B: LLM Performance Benchmarking Summary].