You can just merge Qwen3.6 & 3.8 27B to get decent performance with much fewer token generation

Reddit r/LocalLLaMA Models

Summary

JetBrains has created an unofficial derivative by merging Qwen3.6 and Qwen3.8 27B models to achieve decent performance with fewer token generations, optimized for coding tasks.

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Cached at: 09/28/26, 01:57 PM

JetBrains/Qwen3.8-3.6-27B-blend · Hugging Face

Source: https://huggingface.co/JetBrains/Qwen3.8-3.6-27B-blend **Unofficial JetBrains derivative.**This model was prepared by JetBrains using Qwen models developed by Alibaba Cloud. This release is not affiliated with, sponsored by, or endorsed by Alibaba Cloud or Alibaba Group.

Coding quality versus output tokens: tasks completed on JetBrains’ 100-task internal coding benchmark

Tasks completed versus output tokens on JetBrains’ 100-task internal coding benchmark. Reasoning settings differ between configurations; see the article for methodology and context.

ReadMaking Local AI Smarter and Fasterfor the Junie Local release story, coding evaluations, token-efficiency results, and MTP runtime experiments.

Available formats:BF16·GGUF·MLX 4-bit·MTP MLX 4-bit.

This model is a 50/50 combination of Qwen3.6-27B and Qwen3.8-27B, created by linearly interpolating their checkpoint parameters. The configuration, tokenizer, processor, and chat template are retained from Qwen3.8-27B. Exact source revisions and merge settings are recorded inmerge-manifest.json.

The interpolation uses float32 accumulation.

0.5 * Qwen/Qwen3.6-27B + 0.5 * Qwen/Qwen3.8-27B
  • Qwen/Qwen3\.6\-27Brevision6a9e13bd6fc8f0983b9b99948120bc37f49c13e9
  • Qwen/Qwen3\.8\-27Brevision1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0

https://huggingface.co/JetBrains/Qwen3.8-3.6-27B-blend#license-and-attributionLicense and attribution

Distributed under the Apache License, Version 2.0. The original QwenLICENSE, includingCopyright 2026 Alibaba Cloud, is retained unchanged.

Copyright © 2026 JetBrains s.r.o. This notice applies only to original material contributed by JetBrains. Upstream Qwen material remains subject to its original copyright and attribution notices.

SeeNOTICEfor attribution andCHANGES.mdfor a description of the modifications and the affected files.

https://huggingface.co/JetBrains/Qwen3.8-3.6-27B-blend#note-on-acceptable-useNote on acceptable use

This model is distributed under the Apache License, Version 2.0. This notice does not modify the License. Users are reminded that using this model, or its outputs, to infringe the copyright or other intellectual property rights of third parties may violate applicable law, independent of the terms of this License.

https://huggingface.co/JetBrains/Qwen3.8-3.6-27B-blend#training-and-upstream-informationTraining and upstream information

No additional training or fine-tuning was performed, and no additional training data was used to create this derivative; its preparation consisted of the checkpoint merge and, where applicable, the extraction, format conversion, and quantization described above and inCHANGES.md.

For upstream information, see the officialQwen3.6-27B model cardandQwen3.8-27B model card. Qwen also publishes aTraining Data Summary, which describes training data for models powering qwen.ai generally; it does not identify the exact training datasets for these two checkpoints.

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