Search: “Adobe Flash”

ZDI-26-660: Adobe Acrobat Reader DC Font Parsing Use-After-Free Information Disclosure Vulnerability

ZDI discloses CVE-2026-80162, a font-parsing use-after-free in Adobe Acrobat Reader DC enabling limited sensitive information disclosure with CVSS 3.3.

The Zero Day Initiative published ZDI-26-660 covering a use-after-free vulnerability in Adobe Acrobat Reader DC's font parsing. Successful exploitation allows disclosure of sensitive information and requires user interaction, such as opening a malicious file or visiting a malicious page. ZDI rated the issue CVSS 3.3 and tracked it as CVE-2026-80162.

ZDI Published Advisories·Sep 10, 05:00 UTC · 6d agoAdvisory 19 sourcesCVE-2026-80162

deepseek-ai/DeepSeek-V4.1-Flash — new model trending #28 on Hugging Face

DeepSeek releases DeepSeek-V4.1-Flash, a 552B-parameter multimodal MoE model with 1M-token context and KV cache cut to 890 bytes per token.

DeepSeek-V4.1-Flash is a multimodal Mixture-of-Experts model with a 552B-parameter backbone that activates 8B parameters per token during prefill and 16B during decode. It uses a Causal Encoder-Decoder architecture, Compressed Sparse Attention 2, and FP4 KV caching to reduce the global KV cache footprint to 890 bytes per token, roughly one quarter of DeepSeek-V4-Flash. The model was trained from scratch on 45T tokens with context extended to 1M tokens, includes an Engram conditional-memory module (196B parameters), and is released under the MIT license. Post-training uses SFT, RL, and on-policy distillation with large-scale automated synthesis of agentic tasks and a controllable reasoning effort setting from 1 to 100.

Hugging Face trending models·updated Sep 12, 05:56 UTC · 4d ago·first Sep 10, 02:17 UTC · 6d agoModel release 6 sources1

DeepSeek v4.1 Flash Uncensored

Hugging Face user dealignai published an uncensored FP8-quantized variant of DeepSeek v4.1 Flash, drawing moderate Hacker News attention.

A community-published uncensored FP8 quantization of DeepSeek v4.1 Flash appeared on Hugging Face under user dealignai. The release is a third-party upload rather than an official DeepSeek launch, and no benchmark data or license details are provided in the listing. It received limited visibility, with 43 points and 11 comments on Hacker News.

Hacker News · AI·Sep 11, 06:46 UTC · 5d agoModel release 2 sourcesHN 43↑ · 11 comments1

Tracking Elirks Variants in Japan: Similarities to Previous Attacks

Unit 42 links new Elirks backdoor variants attacking Japanese organizations to 2012 Taiwan attacks, delivered via spear-phishing PDFs exploiting Adobe Flash CVE-2011-0611.

Unit 42 analyzed new Elirks backdoor variants found in an attack on a Japanese business, noting strong similarities to 2012 attacks on Taiwanese ministries. The backdoor retrieves its C2 address from attacker-created accounts on Japanese blog and SNS services. Recent deliveries used an airline e-ticket lure named "E-TKT" with a PDF exploiting Adobe Flash CVE-2011-0611. Shared infrastructure and tactics with the Scarlet Mimic campaign suggest possible ongoing cyber espionage across East Asia.

Palo Alto Unit 42·Aug 17, 12:56 UTC · Aug 17, 2026Threat actor in the wildCVE-2011-0611

Adobe is trying to make its AI generators idiot-proof in Premiere

Adobe adds in-timeline generative media to Premiere, letting editors generate video and audio clips using Firefly, Veo, Runway, Luma, and Kling models.

Adobe's new Generative Media tool lets Premiere editors highlight empty gaps in the timeline and generate context-aware, editable video, sound effects, music, and soundscapes without leaving the project. Editors can choose among underlying models including Adobe Firefly, Google Veo, Runway, Luma, and Kling. Beta AI audio tools can separate overlapping speakers and duck music under speech, and an AI Assistant is coming to After Effects for plain-language project commands.

The Verge · AI·Sep 8, 13:00 UTC · 7d agoAI industry

China-Linked Jewelbug Uses XG-Web for Government Espionage and Crypto Fraud

China-linked Jewelbug runs government espionage and crypto fraud from a single XG-Web browser-based control framework.

Broadcom's Symantec and Carbon Black detail Jewelbug, a China-based hackers-for-hire group conducting espionage against governments and militaries in the Middle East, Southeast Asia, and South Asia, plus crypto fraud against Chinese-speaking victims. Operations center on XG-Web, a browser-centric remote-access and infostealing framework, with implants spanning browsers, Windows, Linux, and network devices. The group overlaps with CL-STA-0049, Ink Dragon, Earth Alux, and REF7707, and compromised a Middle Eastern government's webmail across 15 tenants.

The Hacker News·Aug 15, 00:00 UTC · Aug 15, 2026Threat actor in the wild

“Tick” Group Continues Attacks

Unit 42 tracks the Tick espionage group attacking Korean and Japanese defense and high-tech targets with Daserf, Minzen, 9002, Invader, and custom Gh0st RAT variants.

The Tick group has conducted long-running espionage attacks against organizations in the Republic of Korea and Japan, focusing on defense and high-tech companies holding intellectual property, and repeatedly attacked one high-profile Japanese target for three years. Unit 42 links the Daserf backdoor, the 9002 RAT, and the Invader backdoor through shared C2 infrastructure used between July 2012 and April 2013. Minzen samples install a "NamelessHdoor" backdoor derived from publicly available code over a decade old, modified with ReflectiveDLLLoader DLL injection, and the group also uses custom Gh0st RAT variants. Tick has shifted from privacy-protected domain registration to compromised websites for C2 infrastructure.

Palo Alto Unit 42·Aug 17, 12:55 UTC · Aug 17, 2026Threat actor in the wild1

Fake Adobe and Zoom Updates Install ScreenConnect for Persistent Remote Access

The Hacker News·Aug 4, 13:18 UTC · Aug 4, 2026Malware1

Decline in Rig Exploit Kit

Rig exploit kit activity dropped roughly 75% after the pseudo-Darkleech and EITest campaigns stopped using EKs, reflecting an overall decline in exploit kit activity.

Rig EK activity fell sharply in 2017: the pseudo-Darkleech campaign disappeared at the end of March, cutting Rig traffic about 50%, and the EITest campaign switched to tech support scams in late April, cutting another 50% in May. Broader causes include a shrinking browser target base, no major EK zero-day in over a year, and community takedowns of domain shadowing infrastructure. Criminals are shifting to malspam, social engineering schemes like fake HoeflerText notifications, and tech support scams.

Palo Alto Unit 42·Aug 17, 09:31 UTC · Aug 17, 2026Exploit / PoC in the wild1

Iranian cyber targeting of dissidents, activists and journalists

UK NCSC, FBI, and Dutch AIVD expose CHOSEN BRICK spyware used by Iranian state actors against dissidents, activists, and journalists worldwide.

A joint advisory from the UK NCSC, FBI, and Dutch AIVD details CHOSEN BRICK, a Windows spyware family used by Iranian state cyber actors since at least 2025 against dissidents, activists, and journalists in the UK, US, and Netherlands. Actors build rapport on WhatsApp and Telegram impersonating known contacts or platform support, then deliver disguised payloads resembling apps such as Telegram, Norton, RunwayML, or fake MRI results. The malware persists via HKCU Run registry keys, adds Microsoft Defender exclusions, and uses a unique Telegram bot C2 per victim. Capabilities include screen capture, microphone recording, process enumeration, email and messaging data theft, file deletion, and system wiping; victim data has appeared on pro-Iranian leak sites.

NCSC UK·Sep 15, 12:00 UTC · 1d agoThreat actor in the wild2

deepseek-ai/DeepSeek-V4-Flash-Vision-Exp — new model trending #10 on Hugging Face

DeepSeek released DeepSeek-V4-Flash-Vision-Exp, its first experimental multimodal model, with large multimodal agent benchmark gains over V4-Flash-0731.

DeepSeek AI published DeepSeek-V4-Flash-Vision-Exp, an experimental multimodal model built on the DeepSeek-V4-Flash architecture with added visual modules and continued training. It scores 83.9 on Terminal Bench 2.1 and 36.5 on ApexBench Pass@1 versus 26.2 for DeepSeek-V4-Flash-0731, while remaining comparable to Opus-4.8 on several benchmarks. The MIT-licensed repository ships a tokenizer, OpenAI-style and TXT prompt encoding, and a minimal PyTorch inference implementation, with vLLM and SGLang deployment recipes.

Hugging Face trending models·Aug 31, 06:16 UTC · 16d agoModel release1

Iranian cyber spies used fake MRI scan results to hack ‘enemy of regime’

UK, US, and Dutch agencies expose CHOSEN BRICK spyware used by Iranian MOIS hackers to surveil dissidents, journalists, and activists via fake MRI lures.

The UK NCSC, FBI, and Dutch AIVD jointly warned that Iranian state-sponsored hackers deploy CHOSEN BRICK Windows spyware against dissidents, activists, and journalists since at least 2025. Operators build rapport over WhatsApp and Telegram, often posing as known contacts or tech support, then deliver malicious files disguised as an MRI scan or installers for Pictory, RunwayML, Norton, Telegram, Adobe Flash Player, and KeePass. The malware steals contacts, emails, and social media messages, captures screen content and microphone audio, adds Microsoft Defender exclusions, and uses per-victim Telegram bots for command and control. The FBI attributes the tradecraft to Iran's Ministry of Intelligence and Security, including the 'Handala Hack' persona, and stolen data has surfaced on pro-Iranian leak sites.

The Record·Sep 15, 16:28 UTC · 20h agoThreat actor in the wild1

Hackers Disguise CHOSEN BRICK Malware as AI Apps, Antivirus Software and MRI Results

NCSC, FBI, and AIVD warn Iranian state-linked actors deliver CHOSEN BRICK Windows spyware via fake AI apps, antivirus installers, and MRI-result lures.

A joint advisory from the UK NCSC, FBI, and Dutch AIVD details CHOSEN BRICK (FBI tracking name: HEAVYGRAM), Iranian state-linked Windows spyware targeting dissidents, activists, and journalists worldwide since at least 2025. Lures impersonate Pictory, RunwayML, Norton Antivirus, Telegram, Adobe Flash Player, and KeePass, and operators pivot conversations from corporate to personal devices to bypass enterprise controls. The spyware persists via Registry Run keys, adds Microsoft Defender exclusions, uses per-victim Telegram bots for command-and-control, and exfiltrates screenshots, audio, email, and chat data via Telegram and cloud services, with some victim data appearing on pro-Iranian leak sites.

GBHackers·updated 12:00 UTC · 58m ago·first 06:57 UTC · 6h agoMalware in the wild 5 sources

Adobe security advisory (AV26-808) – Update 1

Canada's Cyber Centre updated Adobe advisory AV26-808 to flag that CVE-2026-71362 in Adobe Commerce is being exploited in the wild.

The Canadian Centre for Cyber Security advisory AV26-808 (Update 1) lists vulnerabilities affecting Adobe products including Campaign Classic, Adobe Commerce, Magento Open Source, ColdFusion 2023/2025, Lightroom Classic, and Content Credentials SDKs. Update 1 notes that open-source reporting indicates CVE-2026-71362 is being exploited in the wild. Users and administrators are urged to review the referenced links and apply updates, including those in Adobe bulletin APSB26-92 for Adobe Commerce.

Canadian Centre for Cyber Security·updated Sep 14, 12:00 UTC · 2d ago·first Sep 10, 16:03 UTC · 5d agoAdvisory in the wild 4 sourcesCVE-2026-71362

Understanding Angler Exploit Kit

Unit 42 explains exploit kit fundamentals, describing how landing pages profile victims, deliver exploits, and install malware payloads on Windows hosts.

Unit 42 published a primer on exploit kit fundamentals, defining vulnerabilities, exploits, malware payloads, actors, and campaigns in EK-based attacks. It explains the infection chain: a landing page profiles the victim's Windows system for vulnerable applications such as Flash Player, Java, Silverlight, and Internet Explorer, then a matching exploit executes a downloader or final payload, often delivered encrypted with XOR or RC4. The post also describes the EK-as-a-Service business model, in which leading EKs are rented for a few thousand dollars per month while buyers supply campaign infrastructure.

Palo Alto Unit 42·Aug 17, 09:50 UTC · Aug 17, 2026Research

Adobe security advisory (AV26-848)

Canada's Cyber Centre relayed Adobe advisories covering vulnerabilities in Campaign Classic, Substance 3D apps, Adobe XD, Illustrator, and C2PA tools.

Bulletin AV26-848 lists Adobe vulnerabilities affecting Campaign Classic (through 7.4.4 build 9400), Substance 3D Designer, Painter, and Sampler, Adobe XD, C2PA Tool, Content Credentials Rust SDK, and Illustrator 2025/2026. The Canadian Centre for Cyber Security encourages users and administrators to review the linked Adobe bulletins and apply updates. Specific CVE identifiers are not enumerated in the advisory text.

Canadian Centre for Cyber Security·Aug 26, 13:56 UTC · 20d agoAdvisory

KRBanker Targets South Korea Through Adware and Exploit Kits

Unit 42 details KRBanker banking trojan targeting South Korean bank users via KaiXin exploit kit and NEWSPOT adware, using pharming and process hollowing.

KRBanker (aka Blackmoon) is a banking trojan targeting online banking users in the Republic of Korea, with roughly 2,000 unique samples and 200+ pharming servers observed by Unit 42 over six months. It is distributed through the KaiXin exploit kit exploiting Adobe Flash CVE-2014-0569 and CVE-2015-3133, and through the NEWSPOT adware update channel that also delivers the Venik trojan. The trojan uses process hollowing, retrieves pharming server IPs from Qzone profile nickname fields, and abuses Proxy Auto-Config with a local proxy to redirect banking traffic to forged sites.

Palo Alto Unit 42·Aug 17, 12:57 UTC · Aug 17, 2026Malware in the wildCVE-2014-0569CVE-2015-3133

Iranian Hackers Use Telegram-Controlled Malware to Spy on Dissidents and Journalists

FBI, NCSC, and AIVD detail Iran MOIS spyware CHOSEN BRICK/HEAVYGRAM, Telegram-controlled Windows malware spying on dissidents since 2023.

A September 15 joint advisory from the FBI, UK NCSC, and Dutch AIVD attributes the Windows spyware HEAVYGRAM (NCSC name CHOSEN BRICK) to Iran's Ministry of Intelligence and Security, with the campaign dating to autumn 2023 and targeting dissidents, journalists, and activists in the UK, US, Netherlands, and worldwide. Delivered via messages impersonating known contacts or tech support, the malware assigns each victim a dedicated Telegram bot for command-and-control and exfiltration, and can take screenshots, record microphone audio, steal Telegram/WhatsApp data, saved passwords, and emails, download more malware, and wipe the computer. Persistence uses a registry Run key (SMQDService or winappx) plus Microsoft Defender exclusions, with stolen data exiting via Telegram and cloud storage services like Vultr and Storj. The US Justice Department seized four pro-Iranian leak sites in March that had published stolen victim data.

The Hacker News·Sep 15, 16:29 UTC · 20h agoMalware in the wild

Iranian spies hit Windows machines with Chosen Brick data-stealing malware

FBI, UK NCSC, and Dutch AIVD warn Iranian intelligence uses Chosen Brick spyware against dissidents, stealing contacts, emails, and messaging data.

A joint advisory from the FBI, UK NCSC, and Dutch AIVD says Iranian state cyber actors have used the Chosen Brick Windows malware since at least 2025 to surveil dissidents, activists, and journalists. Attacks begin with heavily researched WhatsApp and Telegram messages impersonating trusted contacts, tricking victims into opening fake installers resembling Pictory, RunwayML, Norton Antivirus, Telegram, Adobe Flash Player, and KeePass. The malware persists via the HKCU Run registry key, adds Microsoft Defender exclusions, uses victim-specific Telegram bots for C2, captures screen and audio, steals emails and Telegram/WhatsApp data, and can wipe systems.

The Register · Security·Sep 15, 18:01 UTC · 18h agoThreat actor in the wild1

Understanding Angler Exploit Kit

Unit 42 examines Angler EK operations, including rapid zero-day adoption, fileless Bedep infections, and ransomware payloads like TeslaCrypt and CryptXXX.

Unit 42 published the second part of its Angler EK analysis, covering the kit's history since 2013, its SaaS rental model, and its focus on Flash, Internet Explorer, and Silverlight exploits. Angler integrated the CVE-2015-5119 Flash zero-day from the Hacking Team leak within hours and later added exploits for CVE-2015-2419 and CVE-2016-0034 roughly a month after Microsoft patched them. Campaigns use Angler to deliver ransomware such as CryptoWall, TeslaCrypt, and CryptXXX, plus banking trojans and stealers via EITest. Since August 2014, Angler has used fileless, in-memory execution, most often for Bedep, which later downloads CryptXXX and click-fraud malware.

Palo Alto Unit 42·Aug 17, 09:50 UTC · Aug 17, 2026Research in the wildCVE-2015-5119CVE-2015-2419CVE-2016-0034

One Editor, Many Edits: A Unified Training-Free Framework for Diverse Video Editing

Researchers introduce EditVid, a training-free video editing framework scoring 78.16 FiVE-Acc versus 58.95 for the strongest comparable baseline.

EditVid is a unified training-free framework for diverse instruction-guided and subject-guided video editing. It combines sparse causal memory for local coherence, correspondence-based post-attention token injection for long-range identity preservation, and soft latent blending for edit locality. On the FiVE benchmark it reaches 78.16 FiVE-Acc against 58.95 for the strongest evaluated training-free baseline, with competitive results on IVEBench. A user study showed 51.8% overall preference for EditVid over 7 competing methods.

Hugging Face daily papers·Sep 2, 20:00 UTC · 13d agoAI research

DeepSeek launching v4.1 flash cheaper and more capable than v4 pro

DeepSeek will launch V4.1 Flash around September 10, 2026, claiming it outperforms V4 Pro on performance, cost, and speed while routing Pro traffic to it.

DeepSeek announced V4.1 Flash, launching around September 10, 2026, stating it surpasses V4 Pro across performance, cost, speed, and task completion time. After launch and before V4.1 Pro ships, all Pro requests will be routed to Flash and billed at Flash pricing. Off-peak prices are $0.003 for input cache hits, $0.15 for cache misses, and $0.60 for output, with peak-hour rates doubled.

Hacker News · security·Sep 9, 11:19 UTC · 7d agoModel releaseHN 44↑ · 5 comments

Agnes-AI/Agnes-3.0-Flash — new model trending #30 on Hugging Face

Agnes AI releases open-weight Agnes-3.0-Flash Preview, a 33B multimodal model with 262k-token context under Apache 2.0.

Agnes AI released Agnes-3.0-Flash Preview, an open-weights multimodal checkpoint with 33B parameters and a 262,144-token context window under Apache 2.0. The model supports text, image, and video understanding, tool calling, and adjustable reasoning effort. The repo clarifies this preview checkpoint is distinct from the production/API Agnes 3.0 Flash model, which uses a different configuration with a 1M-token context window. Reported reference results include IFBench 74.20 and SciCode 38.08 against peers such as Qwen3.6-35B-A3B, Kimi K2.5, and MiniMax M3.

Hugging Face trending models·Sep 11, 15:50 UTC · 4d agoModel release

Google releases Gemini 3.8 Flash, its third Flash model in six weeks

Google releases Gemini 3.8 Flash, topping the DeepSWE coding leaderboard six weeks after 3.7 Flash, alongside the cybersecurity-focused 3.8 Flash Cyber.

Google shipped Gemini 3.8 Flash, its third Flash model in six weeks, placing it at the top of the DeepSWE software engineering leaderboard. The companion Gemini 3.8 Flash Cyber showed a reported 2.6x patch accuracy increase for the Chrome security team and found a critical vulnerability in two hours, but is limited to trusted testers and governments. Gemini 3.8 Flash improved over 3.7 Flash on the OSWorld-2.0 computer-use benchmark yet remains far behind Claude Opus.

Ars Technica · AI·Sep 2, 18:13 UTC · 13d agoModel release1

Introducing agentic video understanding with Gemini

Google DeepMind launches agentic video understanding for Gemini 3.7 Flash, 3.6 Flash, and 3.5 Flash-Lite, cutting video-analysis tokens up to 88%.

Google DeepMind launched agentic video understanding across Gemini 3.7 Flash, 3.6 Flash, and 3.5 Flash-Lite via the Gemini API in Google AI Studio and the Gemini Enterprise Agent Platform. The feature replaces static fixed-FPS ingestion with an agentic loop that dynamically searches frames, audio, and transcripts, cutting token consumption by up to 88%, reducing costs by up to 66%, and improving accuracy by up to 7%. Gemini 3.7 Flash with the feature sits at the accuracy-to-cost Pareto frontier on tested video benchmarks, and the capability will later power YouTube's Ask YouTube feature.

Google DeepMind·Sep 1, 17:08 UTC · 14d agoAI tools & infra

Introducing Gemini 3.7 Flash

Google DeepMind announced Gemini 3.7 Flash, a new Flash-tier addition to its Gemini model family for fast, cost-efficient workloads.

Google DeepMind introduced Gemini 3.7 Flash via its official blog. The release adds a new Flash-tier model to the Gemini family; Flash tiers typically target low-latency, cost-efficient inference. The announcement text provided no additional benchmark or capability details.

Google DeepMind·Aug 13, 17:04 UTC · Aug 13, 2026Model release

Gemini Omni 1.1 Flash lets you build with more control

Google DeepMind released Gemini Omni 1.1 Flash, an updated model giving developers more control when building applications.

Google DeepMind announced Gemini Omni 1.1 Flash in a blog post titled 'Gemini Omni 1.1 Flash lets you build with more control.' The update targets developers building on Gemini, emphasizing greater control over model behavior. No article text was available, so technical details such as benchmarks, context window, or pricing are unknown.

Google DeepMind·Aug 27, 16:11 UTC · 19d agoModel release

Mi-Ripple: Restoring Images Degraded by Iterative AI Editing

Mi-Ripple is a diagnosis-guided restoration workflow that removes digital ripple artifacts introduced by iterative AI image editing while preserving structure.

Iterative reference-conditioned image editing can introduce grid-like and granular textures known as digital ripple. Mi-Ripple separates periodic lattice artifacts from content-entangled granular texture, then applies selective spectral notching, structure-aware smoothing, and cleaned-reference regeneration. In fourteen notch-only executions, whole-image residual standard deviation was 0.08-0.44 in CIELAB lightness units, and reference cleaning reduced output debris density by 45% in a paired example.

Hugging Face daily papers·Sep 9, 20:00 UTC · 6d agoAI research

LynnReal-Omni: Native multi-modal Video Generation for Agentic Visual Workflows

LynnReal-Omni unifies controllable video generation tasks in a 32B multimodal diffusion transformer, with a 27B Flash variant rendering 540p clips in 377 ms.

LynnReal-Omni is a native multimodal video generation framework built on a 32B shared multimodal diffusion transformer unifying text-to-video, image-conditioned generation, reference guidance, structural control, editing, restoration and long-video generation, accepting heterogeneous inputs like 3D renders and game recordings for agentic visual workflows. A dedicated 27B Flash model enables real-time rendering, producing a 22-frame 540p video in 377 ms on one H100 versus 843 ms for the full model. The work introduces a curated multi-shot audiovisual data pipeline and MSAVP, a 100-prompt, 20-metric evaluation design covering instruction following, plausibility, visual quality, temporal behavior and audio coordination.

Hugging Face daily papers·Sep 13, 20:00 UTC · 2d agoAI research

Google’s Gemini 3.8 Flash takes on bigger AI models at a lower cost

Google released Gemini 3.8 Flash with a security-focused Cyber variant that produces 2.6x more correct patches and found a critical vulnerability in under two hours.

Google launched Gemini 3.8 Flash for developers and a gated Gemini 3.8 Flash Cyber model reserved for vetted security teams through the new Fairwind program. The company says the model beats most larger frontier models on the DeepSWE v1.1 engineering benchmark at lower cost, and Chrome Security reports the Cyber variant produced 2.6 times more correct patches than the best commercial models while Google's Cloud Vulnerability Research team found a critical foundational vulnerability in under two hours. The models show significant prompt-injection robustness gains measured by Gray Swan and carry CBRN misuse safeguards, with cyber-offense restrictions on the standard version. Pricing matches Gemini 3.7 Flash at $0.75 per million input tokens and $3.75 per million output tokens.

Help Net Security·Sep 3, 00:00 UTC · 13d agoModel release

Jackrong/Qwopus3.8-27B-Flash-GGUF — new model trending #26 on Hugging Face

Community fine-tune Qwopus3.8-27B-Flash, built on Qwen3.8-27B, cuts agent reasoning latency with 12.8% faster decoding and 80.7% MTP acceptance.

Jackrong released Qwopus3.8-27B-Flash, a fine-tune of Qwen3.8-27B optimized for long-running agent workloads, reporting 12.8% faster decoding and 80.7% multi-token-prediction acceptance. Training used roughly 1.5 million teacher-scored SFT examples filtered to the top 10%, followed by reinforcement training with NVIDIA NeMo-RL and GSPO. The author notes an explicit trade-off: MMLU-Pro mixed-set scores are lower than the base model, and a known bug can produce incorrect Python indentation. Author-provided benchmarks have not been independently verified.

Hugging Face trending models·Sep 4, 12:43 UTC · 12d agoModel release1