Qwen/Qwen3.8-27B

In the model registry

Timeline

1. Oct 19, 2026 · Opinion / analysis · 1 source
   Qwen3.8-27B and Flash-Next on consumer hardware: engine numbers I could verify, and what they cost with 2026 RAM prices
   I've been keeping a list of the engines that run Qwen3.8-27B and Flash-Next on consumer hardware, mostly to see where my own engine (capy-flash) stands.
2. Oct 19, 2026 · Opinion / analysis · 1 source
   Kapitsa: open-source Apple Silicon optimized Metal engine built for Qwen and Nemotron. See benchmarks of Qwen 27B, Nemotron + 8 other models on an M1 Pro (16GB), M4 Pro (48GB) and M5 Max (128GB)
   Kapitsa runs only two model families: Qwen (3.5 4B, 3.8 27B, 3.6 35B-A3B, and 3.8 Flash-Next on 128 GB Macs) and NVIDIA Nemotron (3.5 Lightning, Bolt and Super-VL, plus Dory 4B (this is new, we didnt test Dory too much yet). focusing on only these models allows us customize the Metal kernels for each one on Apple Silicon
3. Oct 19, 2026 · Model release · 2 sources
   Nemotron 3.5 Bolt, Muse Spark Open, and a Fast LFM2.5 24B
   Nemotron 3.5, with a closer look at Bolt and its “native 2-bit” quantization
4. Oct 18, 2026 · Opinion / analysis · 1 source
   Agens Volundr 32B v1: we fixed what you flagged in the Preview. 0/50 loops, session continuation, and an MIT engine that runs it with 262K context (measured to 239K) within a 16 GB budget
   WHAT v1 FIXES FROM THE PREVIEW
5. Oct 18, 2026 · Product / feature launch · 1 source
   told Qwen3.8 27b to hack my router
6. Oct 18, 2026 · Opinion / analysis · 1 source
   Nine models, five coding tasks, one 16GB GPU
   I ran five coding tasks against nine models on one RX 9060 XT (16 GB).
7. Oct 17, 2026 · Opinion / analysis · 1 source
   Xolotl (Strata based) - DeepSeek-V4.1-Flash (552B) on a single 4090 at ~27 tok/s, Uncensored 1017 quant coming in a couple of days
   I've been building an inference engine based off Strata called Xolotl that runs DeepSeek-V4.1-Flash, all 552B of it, on one gaming PC.
8. Oct 17, 2026 · Opinion / analysis · 1 source
   if you're on Strata before 0.1.45 and your client doesn't set sampling, you're running greedy
   Two things I ran into while moving my Strata setup from IQ2XS to Unsloth's UD-IQ4XS (RTX 4090, i9-14900K, 64GB DDR5-5800, Arch).
9. Oct 17, 2026 · Opinion / analysis · 1 source
   32GB to 64GB of RAM took Qwen3.8-Flash-Next from IQ2_XS (2-bit) to Unsloth UD-IQ4_XS (4-bit) on a single 4090
   I went from 32GB to 64GB of DDR5-5800 this week and moved my Strata setup off IQ2XS.
10. Oct 17, 2026 · Opinion / analysis · 1 source
    Older models for technical writing?
    The new models like Qwen3.8 27B and DeepSeek V4 Flash etc., all have this terrible, Claude-sounding writing style that I can't stand.
11. Oct 17, 2026 · Tutorial / explainer · 14 sources
    Local and Distributed Large LLM Inference with MLX and RDMA on Mac Studio
    In this post, we show how to run the latest frontier-class model — Muse Spark Open, with nearly a trillion parameters — right from your desk, using the latest version of MLX, released today.
12. Oct 17, 2026 · Opinion / analysis · 1 source
    Qwen 27B (IQ4_XS, Q8/Q4 KV) at full 262k context on a 16GB RX 9070 XT: 80+ t/s decode with Adaptive KV Streaming
    I have been working on implementing adaptive KV streaming and RDNA 4 / ROCm optimizations for llama.cpp to enable running Qwen3.8-27B (IQ4XS weights, Q80/Q40 KV cache) with its full 262,144-token context window on a single 16 GB RX 9070 XT GPU at 80+ t/s decode.
13. Oct 17, 2026 · Opinion / analysis · 1 source
    20 Jev Alternatives: The Decision Models Taking On TypeSafe in 2026
    TypeSafe launched Jev on September 15, 2026.
14. Oct 17, 2026 · Opinion / analysis · 1 source
    Qwen3.8-27B-Defiance-Uncensored-MTP-GGUF
    Defiance puts DavidAU's Turbo-Brilliance "AI Construct" modes on HauhauCS's uncensored Qwen3.8-27B.
15. Oct 17, 2026 · Opinion / analysis · 1 source
    llama.cpp has come a long way
    I started out back in March 2025 running Mistral Nemo Q4KM with 8K F16 on an AMD Radeon RX 7800 XT 16GB, with first ollama and then lmstudio.
16. Oct 16, 2026 · Opinion / analysis · 1 source
    Qwen3.8-27B-antislop, RL’d against slop, top4 on eq bench4
    I RLed qwen27b in style of RL XAR by meta, and now its doesnt feel like a sloppy model and ranks 4 on EQbench
17. Oct 16, 2026 · Opinion / analysis · 1 source
    It really just needs some encouragement (Qwen3.8-27B-UD-IQ4_XS)
    I know I am probably missing the point of this benchmark, but I wanted to see if the model is capable of generating something better or is that the best it can do.
18. Oct 16, 2026 · Research paper · 1 source
    Language Models Learn to Improve Language Models
    Large language models (LLMs) are increasingly used to automate AI research, including language-model (LM) development, offering a potential path toward recursive self-improvement.
19. Oct 16, 2026 · Research paper · 1 source
    WebCoder: Scaling General Frontend Development with Artifact-Grounded Agentic Reinforcement Learning
    We introduce WebCoder, a general frontend development agent trained with artifact-grounded agentic reinforcement learning.
20. Oct 15, 2026 · Research paper · 1 source
    ProPerAgent: Toward Memory-Driven Proactive Assistance
    We introduce ProPerMem, a benchmark for memory-driven proactive assistance (MPA), pairing egocentric video with year-long, distractor-rich user memories ( 618K tokens on average), human-verified trigger windows, and a protocol that scores content and timing jointly.
21. Oct 15, 2026 · Opinion / analysis · 1 source
    capy-flash: Qwen3.8-Flash-Next (125B MoE) in full NVFP4 on two 16 GB consumer GPUs
    capy-flash is the evolution of my ninfer-tp2 engine.
22. Oct 15, 2026 · Opinion / analysis · 1 source
    QUASAR 4-bit QAT checkpoints for Qwen3.5, Gemma 4 and Muse Glimmer: closer to BF16 than Google’s and NVIDIA’s 4-bit releases
    Two months ago we released a fully quantized NVFP4 Qwen3.8-27B trained with QUASAR.
23. Oct 15, 2026 · Research paper · 2 sources
    Terminal-RSI: Recursive Self-Improving Terminal Agents via Recursive Self-Rewrite and Policy-Refine
    We present Terminal-RSI, which alternates Recursive Self-Rewrite (RSR) of verified trajectories with critic-inheriting Recursive Policy-Refine (RPR).
24. Oct 15, 2026 · Model release · 1 source
    autotrust/Qwen3.8-27B-NVFP4-DGX-SPARK
    autotrust published the model Qwen3.8-27B-NVFP4-DGX-SPARK on Hugging Face.
25. Oct 15, 2026 · Opinion / analysis · 1 source
    I tested Qwen3.8 27B KLD for 21 Models at 9 different KV quants that fit on 16GB VRAM (189 benchmarks).
    I calculated KLD and perplexity for Qwen3.8 27B models that fit 16GB VRAM:
26. Oct 15, 2026 · Opinion / analysis · 1 source
    Chicken-coop shed AI PC
    Figured I’d contribute with my chicken-coop adjacent shed AI PC.
27. Oct 15, 2026 · Research paper · 1 source
    Who May Release an Agent's Promise? Standing over Commitments in Multi-Party Chat
    When an assistant serving a team makes a promise to Alice, who may cancel it?
28. Oct 14, 2026 · Opinion / analysis · 1 source
    Tessera-27B-B-CJK, Zellige AIs new finetune of Qwen with novel approaches to how we think about token savings
    Tessera-27B-B-CJK is a Qwen3.8-27B coding agent that thinks in compressed CJK, and it spends fewer tokens doing it.
29. Oct 14, 2026 · Research paper · 2 sources
    ReaDy: Recurrent States as Dynamic Context for Speculative Drafting in Hybrid Linear Attention Large Language Models
    Speculative decoding accelerates autoregressive generation by drafting multiple tokens per step, yet feature-based drafters rely on target hidden features whose contextual emphasis may not align with the needs of subsequent draft positions.
30. Oct 14, 2026 · Product / feature launch · 1 source
    New model from Telperion: Qwen3.8-27B-MLA & Qwen3.8-27B-GLA-g2. 4x smaller KV cache, smarter, and more efficient reasoning.
    Today, we're announcing the release of our latent attention variants of Qwen3.8-27B.

Often appears with