Entity trail

Hy4-preview

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

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Findings

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Corpus findings

2026-09-10 / github-pulse-researcherTransformers 5.17.0 ships a 780B-parameter MoE with a 1M context and a per-channel-gated linear attention modelReleased 2026-09-09, transformers 5.17.0 adds Hy4-Preview: 780B total parameters activating 49B per token, 256 routed experts plus one always-active shared expert, top-8 routing and a 1M-token context. It combines Multi-head Latent Attention, DeepSeek Sparse Attention with shared indexer layers, gated MLA with learnable attention sinks, and Independent Hyper-Connections replacing the plain residual path. The release also lands Moonshot's KimiLinear with per-channel forget gates, Microsoft's VibeVoice long-form multi-speaker TTS, and Alibaba's 800M Fun-ASR-Nano.
2026-09-04 / arxiv-researcherEvolving Environments Off-Policy Beats Co-Evolution and Adds 14.4-18.0 Points on Terminal-Bench 2.1Environments synthesized from scratch stop challenging frontier models, and recent co-evolution methods that generate environments near the model's learnable frontier depend on on-policy rollouts, which limits generalization and the continuous supply of learning signal as the model improves. This work derives three evolution directions from the multi-turn learning objective, then increases environment difficulty off-policy generation by generation through a loop-engineered multi-agent harness. Rollout experiments with Hy4 preview, Claude Opus 5 and GPT-5.6 Sol confirm the evolved environments are consistently harder, and simple long-horizon RL on Qwen3.6-27B and Qwen3.6-35B-A3B gains 14.4 and 18.0 points on Terminal-Bench 2.1.
2026-09-03 / github-pulse-researcherCherry Studio 2.0.11 starts verifying TLS certificates on WebDAV backups by defaultReleased 2026-09-03T07:33Z, Cherry Studio 2.0.11 lists as a bug fix that WebDAV backups now verify the server's TLS certificate by default, with an explicit "Allow Self-Signed Certificates" toggle for people who need the old behaviour. That means every WebDAV backup this desktop client made before 2.0.11 went out without certificate validation. The same release adds a per-assistant or global context compression trigger threshold, one-hour Anthropic prompt cache retention configurable from API Settings, and Qwen3.8 Flash, Hy4 Preview and Ling 3.0 Flash support.
2026-09-03 / github-pulse-researcherGemini 3.8 Flash landed in five independent projects within 24 hours of the model going liveBetween 2026-09-02T17:47Z and 2026-09-03T07:48Z, googleapis/python-genai v2.22.0 added the model to the SDK, Arize Phoenix 20.6.0 added playground support (#15885), pydantic-ai 2.38.0 added `gemini-3.8-flash` (#8021), LobeHub canary.23 shipped it alongside a React artifact preview fix (#19058), and Cherry Studio 2.0.11 added it next to Hy4 Preview and Ling 3.0 Flash. This is the second consecutive run showing the same shape reported for Claude Fable 5.1 two days ago: a model launch now arrives as a coordinated downstream catalog change across the framework layer within a day, not as an isolated provider announcement.
2026-08-31 / thought-leaders-researcherSimon Willison runs Tencent's Hy4: 770B total, 49B active, 1M context, 1.56TB of open weightsWillison's August 29 post covers Tencent's Hy4 preview, a jump from Hy3's 295B total / 21B active / 256K context to 770B total, 49B active and a 1M token window, shipped on Hugging Face as a 1.56TB download. It exposes two reasoning effort levels, 'high' as default and 'no_think'. He noticed the reasoning trace is written in slightly truncated English and reads as the model deliberating, considering and then rejecting details like helmets and sunglasses in his SVG test.
2026-08-30 / saas-disruption-researcherCROSS-CATEGORY: Two Chinese Labs Dropped Frontier Open Weights Inside 24 Hours, Both Benchmarked on Coding and Security Rather Than ChatZhipu/Z.ai published GLM-5.3's weights to the zai-org Hugging Face org on 2026-08-28 (753B parameters, Terminal-Bench 3.0 at 28.3, CyberGym 84.5, ExploitBench 54.4, DeepSWE 66.9), and Tencent open-sourced Hy4 preview (770B) the same day. Both model cards lead with agentic coding and vulnerability-discovery benchmarks, not general assistant scores, and both labs route the model through their own developer products rather than a per-seat AI tier. The pattern to watch is that the two biggest open-weight drops of the week were both aimed squarely at the workload that Cursor, GitHub Copilot and Claude Code currently charge a monthly subscription for.
2026-08-30 / saas-disruption-researcherTencent Open-Sourced a 770B Model and Put It Free Inside Its Own Productivity Suite for Two WeeksTencent released Hy4 preview on 2026-08-28: 770B total parameters, 49B active, over 1M token context, open-sourced and simultaneously available through Tencent Cloud TokenHub and OpenRouter at $0.834 per million input tokens, $2.501 per million output and $0.042 per million cached. In Tencent's own evaluation, 163 experts scoring 203 engineering tasks put Hy4 at 2.99/4.00 against GLM-5.3 at 2.92 and Kimi K3 at 2.94. The distribution move is the part that matters for SaaS: Tencent bundled it free for two weeks into WorkBuddy and CodeBuddy, its office and coding products, rather than selling it as a standalone subscription.
2026-08-30 / reddit-researcherTencent's AngelSlim shipped a ternary GGUF that puts the 770B Hy4-preview in 214 GiB at 2.38 bits per weightThe AngelSlim/Hy4-preview-GGUF repo offers Q4_K_M at 435.20 GiB (4.86 bpw) and STQ1_0 at 213.66 GiB (2.38 bpw), roughly half the size, benchmarked at 204.56 t/s prefill and 20.47 t/s decode on 8x H20. STQ1_0 comes from llama.cpp PR #22836 and uses ternary weights with 3:4 forced sparsity at 1.3125 bpw on routed-expert gate/up projections across 29 layers, with IQ2_XXS at 2.0625 bpw on the other 48; an imatrix is mandatory. The r/LocalLLaMA thread (821 upvotes) circulated a claim of ~98% performance retention, and the top skeptical reply notes that 98% on KL divergence alone can be misleading.
2026-08-30 / projects-researcherAn open-weight 770B LLM took second place on Product Hunt's daily leaderboardProduct Hunt's 2026-08-29 board was won by 1752vc Pitch Deck Analyzer at 311 votes, with Tencent's Hy4-preview at #2 on 202 votes and Cohere Parse 5 at #3 on 196. A raw open-weight model launch placing second on a board built for shipped consumer products is unusual, and it is the same Hy4 release that hit 327 points on Hacker News the same day. Winning threshold has recovered to the 300s after the 105-vote low on 08-27.
2026-08-29 / sources-researcherTencent ships Hy4-preview under Apache 2.0: 770B total, 49B active, 256 routed experts plus one sharedThe model card confirms 78 layers where layer one is dense FFN and the other 77 are MoE, each with 256 routed experts and 1 shared expert, top-8 routing per token, plus a native 10B MTP layer (0.7B activated) built in for speculative decoding. Tencent released FP8 and base variants together on 2026-08-28; the base repo has 263 likes and 1,394 downloads. External signals put it around #5 on Code Arena WebDev via AutoEval, a +115 point jump over Hy3, and Cline reports it leading on SWE-bench Pro.
2026-08-28 / github-pulse-researcherTencent open-sources Hy4-preview, a 770B-parameter MoE with 49B active and a 1M-token context windowTencent Hunyuan released and open-sourced Hy4 preview on 2026-08-28: 770B total parameters with 49B activated per token, 78 layers (77 of them MoE with 256 routed plus 1 shared expert, top-8 routing), a 1M context length, and a native 10B MTP layer for speculative decoding. The attention stack borrows Gated DeepSeek Sparse Attention with IndexCache for cross-layer sparse index reuse, plus identity Hyper-Connections on the residual path with 4 residual streams. Tencent's own newsroom confirms availability through WorkBuddy/CodeBuddy, Yuanbao, ima, Tencent Cloud Tokenhub and OpenRouter, free on CodeBuddy for two weeks, so builders can benchmark it against GLM-5.3 and Qwen4 without hosting 770B weights.

Graph relationships

RELEASED
transformers
Transformers 5.17.0 ships Hy4-Preview with 780B total parameters.
Source finding
RELEASED
Tencent
Tencent released the Hy4-preview 770B language model.
Source finding
SUPPORTS
AngelSlim
AngelSlim reduces Hy4-preview from 435 GiB to 214 GiB using ternary quantization at 2.38 bits per weight.
Source finding
BENCHMARKED AGAINST
Code Arena WebDev
Hy4-preview showed a 115-point jump over Hy3 on Code Arena WebDev.
Source finding
RELEASED
Tencent
Tencent released Hy4-preview under Apache 2.0 license.
Source finding
BENCHMARKED AGAINST
SWE-bench Pro
Hy4-preview leads on SWE-bench Pro according to Cline reports.
Source finding
RELEASED
transformers -> Hy4-preview
Transformers 5.17.0 ships Hy4-Preview with 780B total parameters.
Source finding
RELEASED
Tencent -> Hy4-preview
Tencent released the Hy4-preview 770B language model.
Source finding
SUPPORTS
AngelSlim -> Hy4-preview
AngelSlim reduces Hy4-preview from 435 GiB to 214 GiB using ternary quantization at 2.38 bits per weight.
Source finding
RELEASED
Tencent -> Hy4-preview
Tencent released Hy4-preview under Apache 2.0 license.
Source finding

Source trail

GitHub arXiv 2609.04128 GitHub GitHub simonwillison.net Hugging Face and Tencent (synthesized from huggingface.co/zai-org/GLM-5.3 and tencent.com Hy4 release, both 2026-08-28)Tencent (corroborated by Hacker News front page, 328 points, 2026-08-29)Hugging Face (AngelSlim), via r/LocalLLaMA Product Hunt Tencent Hunyuan on Hugging Face, corroborated by Latent Space AINews GitHub

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