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AI モデル 85003
- GLM-5.3-EXL3-3.38bpw↗
vcruz305
- universa-ext_wavlm-base_5metric↗
vvwangvv
- qwen2.5-vl-3b-instruct↗
wangkanai
- Qwen3.8-27B-GGUF↗
wuji2006
- distilbert-base-uncased-finetuned-sst-2-english↗
Xenova
https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english with ONNX weights to be compatible with Transformers.js. If you haven't already, you can install the Transformers.js JavaScript library from NPM using: Note: Having a separate repo for ONNX weights is intended to be a temporary solution until WebML gains more traction. If you would like to make your models web-ready, we recommend converting to ONNX using 🤗 Optimum and structuring your repo like this one (with ONNX weights located in a subfolder named `onnx`).
- Qwen3.5-4B-Claude-3xMerge-Jackrong↗
xtools-at
- opt-350m-lora↗
ybelkada
- G4-MeroMero-31B-gguf↗
zerofata
.gs { --bg: #f7faff; --surface: #ffffff; --edge: #dce6f2; --rule: #c8d8ea; --text: #3a4a5c; --dim: #7a8fa3; --bright: #1a2a3a; --azure: #4da6ff; --crimson: #f472b6; --az-glow: rgba(77,166,255,0.08); --cr-glow: rgba(244,114,182,0.06); --mono: 'JetBrains Mono', monospace; --sans: 'Inter', sans-serif; font-family: var(--sans); color: var(--text); max-width: 900px; margin: 0 auto; padding: 0 0 60px; line-height: 1.7; font-size: 1rem; background: radial-gradient(ellipse at 50% 0%, rgba(77,166,255,0.06) 0%, transparent 50%), radial-gradient(ellipse at 50% 100%, rgba(244,114,182,0.04) 0%, transparent 50%), var(--bg); } /* ── Profile Card ── */ .gs-profile { border-bottom: none; position: relative; background: var(--surface); margin-bottom: 0; } .gs-profile-art { position: relative; } .gs-profile-art img { display: block; width: 100%; height: 380px; object-fit: cover; margin-top: 0px; } .gs-ident { position: absolute; bottom: 0; left: 0; right: 0; padding: 120px 44px 28px; background: linear-gradient( to top, rgba(15,23,42,0.85) 0%, rgba(15,23,42,0.5) 50%, transparent 100% ); } .gs-profile-info { padding: 20px 44px 36px; display: flex; flex-direction: column; gap: 20px; } .gs-profile-label { display: flex; align-items: baseline; gap: 10px; font-family: var(--mono); letter-spacing: 0.14em; text-transform: uppercase; } .gs-profile-label .gs-snum { font-size: 0.62rem; font-weight: 700; color: var(--crimson); opacity: 1; position: static; transform: none; } .gs-profile-label .gs-stitle { font-size: 0.62rem; color: var(--dim); font-weight: 700; letter-spacing: 0.14em; } .gs-profile-label .gs-stitle::before { content: none; } .gs-name { font-family: var(--sans); font-size: 3.2rem; font-weight: 900; color: #ffffff; letter-spacing: 0.06em; line-height: 1; margin: 0 0 10px; text-shadow: 0 2px 12px rgba(0,0,0,0.3); overflow-wrap: break-word; } .gs-base { font-family: var(--mono); font-size: 0.68rem; color: var(--crimson); letter-spacing: 0.14em; text-transform: uppercase; display: block; } .gs-profile-bio p { margin: 0 0 14px; font-size: 0.95rem; } .gs-profile-bio p:last-child { margin-bottom: 0; }
- Signal-3.8-27B↗
agentionai
> [!IMPORTANT] > **Update 2026-09-13 — use these settings for stable, short reasoning** > Temperature 0.6, min-p 0.05 (top-p 0.95, top-k 20), KV cache q8_0 or f16, and the MTP draft head on. > Without min-p, long answers can run away into repetition on some draws; a 4-bit value cache makes that > deterministic. Both are fixed by the settings above, on Signal and on the base model alike. > [!WARNING] > The weights in this repository were updated on 2026-09-13 (the GGUF tiers were rebuilt from them). The first release's tiers could, rarely, > repeat an answer line when sampling without the draft head; the rebuilt tiers showed no loop or cap > in 55 traces under the same conditions. If you downloaded before that date, re-download. AgentionAI Signal is a minimally invasive fine-tune of Qwen3.8-27B designed for lower generation latency and better token efficiency. On our held-out general-prompt evaluation, Signal produces **57% fewer answer tokens** and uses **52% fewer thinking tokens**, while matching or improving the measured answer quality of the base model.
- cobalt-seeded-rl-base-ramp25-stoppen-gen4k-ep2-ncp10-q4v3-vs16↗
agurung