HF Model & Benchmark Matrix

24,078 variants · 14,984 scores · 120 benchmarks

Qwen3.6-27B

Qwen/Qwen3.6-27B

kind
original
quant
bf16 (16-bit)
family
qwen
modality
image-text-to-text
root model
Qwen/Qwen3.6-27B
provider
Qwen
license
apache-2.0
language
—
context
262,144
library
transformers
vRAM (GB)
—
size on disk
—
downloads
6,101,101
likes
2,077
created
—
last modified
2026-04-24T02:39:16+00:00 (2026)
huggingface
https://huggingface.co/Qwen/Qwen3.6-27B
tags
transformerssafetensorsqwen3_5image-text-to-textconversationallicense:apache-2.0eval-resultsendpoints_compatibledeploy:azureregion:usdeploy:sagemaker

Benchmark scores (1)

benchmarkcategoryscorecontextconfevidence
Terminal-Benchagentic-coding2.0mediumTerminal-Bench 2.0

Discussions (48)

titleauthorstatuscommentstype
Add SkillsBench evaluation resultsSaylorTwiftopen0disc
Listed on OpenModelMapduola15open0disc
Interesting work — mobile AI perspective3morixdopen0disc
post training optimization stepsIamexperimentingopen0disc
Update Terminal Bench 2.0 evaluation notes with methodology detailsSaylorTwiftopen0disc
Dense 60-120Brtzurtzopen0disc
deletertzurtzopen0disc
Listed on OpenModelMapduola15open0disc
how do people use this thing?gemstonebroopen0disc
Quantization Aware Trainingpcomteopen0disc
Upload WhatsApp Video 2026-05-26 at 15.58.00 (online-audio-converter.com) (1).mp3T3R3Z4open0disc
Qwen3.7 27B without overthinkingDuonglvopen0disc
We rewrote the multimodal processor for Qwen 3.6 and we reduced latency from 11s to 80mszakariaelhjoujiopen0disc
Add MMMU-Pro evaluation resultSaylorTwiftopen0disc
feat: Add native NVFP4 MTP GGUF community quantization linknilayparikhopen0disc
set enable thining False but response will output <think> or None ..titanium2000open0disc
90.0% on SWE-bench Verified using Qwen3.6-27B-FP8 — open-weight, consumer GPUs, full transparencymrguoopen0disc
When will QWEN 3.6 MAX be released?ZeroWwopen0disc
Possible future 32 GB single-GPU variant?vanbukinopen0disc
Qwen3.7-20B-A4Bfengluiopen0disc
When Qwen 3.6 2b / 4b?sprappopen0disc
GGUF available — Cerebellum v4 (ablation-guided mixed-precision)deucebucketopen0disc
function_call do not give me report usuallyHeisenbergQopen0disc
reasoning_effort ?supersmehopen0disc
When is 122B-A10B coming?KeilahEllaopen0disc
Fine-tuning Best Practicesstudy-hjtopen0disc
It seemed to me...EvilinaMalleropen0disc
Where can I try this?mindplayopen0disc
Update chat_template.jinjadluthycopen0disc
Qwen3.6-27B-AWQ-INT4 for running in vLLMDuonglvopen0disc
Qwen3.6 seem to fake record too oftenanitmanopen0disc
MTP Speculative Decoding absolutely no performance gainsManuun1open0disc
Qwen3.6 27b has template issue in ralph loop on opencode: `No user query found in messages`cropseopen0disc
qwen_6_27bhjeogndzmvlxclosed0disc
Base model releaseaimeriopen0disc
Anyone is having issues with tool calling with the 3.6 family ? (not just 35b or 27b)LPN64open0disc
Qwen3.6-27B is suprisingly good for codingweisundingopen0disc
what kind of effect if I increase the expert number used in lm studio?Raffaeleluopen0disc
Anyone noticed the diffrence of sampling parameters between 27B and 35B-A3B (both 3.6)bash99open0disc
Great model, please release ~16B model with FP8Duonglvopen0disc
Installation Video and Testing - Step by Stepfahdmirzacopen0disc
MOE 122b and 397b please!jesleociziopen0disc
feedback. I just can't hold back my comment!EvilinaMalleropen0disc
Deploying with sglang, weight name not matchingKyoma001open0disc
10/10qenmeopen0disc
Wan when?kabachuhaopen0disc
Add community evaluation results for AIME_2026, GPQA, HLE, HMMT_FEB_2026, MMLU-PRO, SWE-BENCH_PRO, SWE-BENCH_VERIFIED, TERMINAL-BENCH-2.0nielsropen0disc
My deepest respect and admiration goes out to the Qwen team!!testamentaddress01open0disc
Hugging Face model & benchmark data scraped & matrix-ified. 24,078 variants · 14,984 scores · 120 benchmarks.