@_akhaliq: bottlecapai/ThinkingCap-Qwen3.6-27B Capability of Qwen3.6-27B with 50% less thinking tokens on average, and over 90% le…
Summary
bottlecapai releases ThinkingCap-Qwen3.6-27B, a finetuned version of Qwen3.6-27B that achieves 50% fewer thinking tokens on average and over 90% fewer in best cases, improving efficiency.
View Cached Full Text
Cached at: 07/06/26, 06:16 PM
bottlecapai/ThinkingCap-Qwen3.6-27B
Capability of Qwen3.6-27B with 50% less thinking tokens on average, and over 90% less in best cases. Achieved via finetuning Qwen3.6-27B (Qwen Team, 2026) with state-of-the-art finetuning algorithms on a curated set of problems of various https://t.co/L2Xhj5GMNr
Similar Articles
bottlecapai/ThinkingCap-Qwen3.6-27B-GGUF
ThinkingCap-Qwen3.6-27B is a fine-tuned version of Qwen3.6-27B that uses 50% fewer thinking tokens on average while maintaining answer quality. This repository provides GGUF quantizations for local inference with llama.cpp.
Qwen/Qwen3.6-35B-A3B-FP8
Alibaba releases Qwen3.6-35B-A3B-FP8, an open-weight quantized variant of Qwen3.6 with 35B parameters and 3B activated via MoE, featuring improved agentic coding capabilities and thinking preservation for iterative development.
Qwen/Qwen3.6-27B
Qwen releases the open-weight Qwen3.6-27B model on Hugging Face, featuring improved stability, agentic coding capabilities, and thinking preservation for better developer productivity.
Need a second pair of eyes, this Qwen3.6 27B quant recipe consistently thinks less and is correct
The author shares a quantization recipe for Qwen3.6 27B that makes the model use significantly fewer thinking tokens while still producing correct answers, leading to faster inference on math benchmarks.
Qwen/Qwen3.6-35B-A3B
Qwen releases Qwen3.6-35B-A3B, an open-weight Mixture-of-Experts model with 35B total parameters and 3B active parameters, featuring significant improvements in agentic coding and reasoning preservation.