Entity trail

Hy4-preview

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

Briefing refs

Findings

Edges

Sources

Corpus findings

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
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
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

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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