{"generated_at": "2026-10-18T04:30:40Z", "scoring_version": "editorial-v3", "period": "now", "period_hours": 48, "order": "editorial", "category": "all", "total": 137, "items": [{"id": "cde9bfd632ec65235ed7", "title": "nvidia/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-NVFP4", "url": "https://huggingface.co/nvidia/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-NVFP4", "discussion_url": null, "source": "Replicate Hype", "sources": ["Replicate Hype"], "category": "models", "topic": "Models", "published_at": "2026-10-16T23:39:43Z", "date_kind": "updated", "original_published_at": null, "score": 86.1, "reasons": ["Model update", "Includes measurements", "Model or repository link", "4 independent platforms"], "summary": "", "metrics": [{"kind": "likes", "value": 120, "label": "likes"}], "score_components": {"relevance": 30, "freshness": 22.2, "evidence": 12, "coverage": 15, "primary": 0, "engagement": 6.9}, "momentum": 21.9, "significance": 63.9, "news_at": "2026-10-16T23:39:43Z", "enterprise_reasons": [], "also": [], "cloud_availability": []}, {"id": "75c8e44892dd8d989d02", "title": "nvidia/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16", "url": "https://huggingface.co/nvidia/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16", "discussion_url": null, "source": "Replicate Hype", "sources": ["Replicate Hype", "r/LocalLLaMA"], "category": "models", "topic": "Models", "published_at": "2026-10-16T23:39:54Z", "date_kind": "updated", "original_published_at": null, "score": 85.3, "reasons": ["Model update", "Includes measurements", "Model or repository link", "4 independent platforms"], "summary": "", "metrics": [{"kind": "likes", "value": 65, "label": "likes"}], "score_components": {"relevance": 30, "freshness": 22.2, "evidence": 12, "coverage": 15, "primary": 0, "engagement": 6.1}, "momentum": 21.1, "significance": 63.1, "news_at": "2026-10-16T23:39:54Z", "enterprise_reasons": [], "also": [], "cloud_availability": []}, {"id": "fd3d213bc5c9be877ee2", "title": "unsloth/NVIDIA-Nemotron-3.5-Bolt-74B-A9B-GGUF", "url": "https://huggingface.co/unsloth/NVIDIA-Nemotron-3.5-Bolt-74B-A9B-GGUF", "discussion_url": null, "source": "Replicate Hype", "sources": ["r/unsloth", "Replicate Hype"], "category": "models", "topic": "Models", "published_at": "2026-10-16T13:25:22Z", "date_kind": "updated", "original_published_at": null, "score": 83.9, "reasons": ["Model update", "Includes measurements", "Model or repository link", "4 independent platforms"], "summary": "See", "metrics": [{"kind": "likes", "value": 49, "label": "likes"}], "score_components": {"relevance": 30, "freshness": 21.3, "evidence": 12, "coverage": 15, "primary": 0, "engagement": 5.7}, "momentum": 20.7, "significance": 62.6, "news_at": "2026-10-16T13:25:22Z", "enterprise_reasons": [], "also": [], "cloud_availability": []}, {"id": "5460530dce684727f360", "title": "deepseek-ai/DeepSeek-V4.1-Flash-1017", "url": "https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017", "discussion_url": null, "source": "Hugging Face · Models", "sources": ["Hugging Face · Models", "r/DeepSeek", "r/LocalLLaMA"], "category": "models", "topic": "Models", "published_at": "2026-10-18T03:25:26Z", "date_kind": "trend", "original_published_at": "2026-10-17T02:40:38Z", "score": 82.4, "reasons": ["Model release", "Model or repository link", "4 independent platforms"], "summary": "image-text-to-text · transformers · License: mit", "metrics": [{"kind": "likes", "value": 1010, "label": "likes"}, {"kind": "downloads_month", "value": 0, "label": "downloads / month"}], "score_components": {"relevance": 30, "freshness": 22.5, "evidence": 5, "coverage": 15, "primary": 0, "engagement": 9.9}, "momentum": 24.9, "significance": 59.9, "news_at": "2026-10-17T02:40:38Z", "enterprise_reasons": [], "also": [], "cloud_availability": [{"provider": "vercel", "label": "AI Gateway", "url": "https://vercel.com/changelog/deepseek-v4-1-flash-1017-now-available-on-ai-gateway", "title": "DeepSeek V4.1 Flash 1017 now available on AI Gateway", "published_at": 1792195200.0, "stage": "announced"}]}, {"id": "767c3d765828aad11199", "title": "black-forest-labs/flux-3-image-klein-base", "url": "https://huggingface.co/black-forest-labs/flux-3-image-klein-base", "discussion_url": null, "source": "Replicate Hype", "sources": ["Replicate Hype"], "category": "models", "topic": "Models", "published_at": "2026-10-16T04:58:07Z", "date_kind": "updated", "original_published_at": null, "score": 76.8, "reasons": ["Model update", "Model or repository link", "3 independent platforms"], "summary": "", "metrics": [{"kind": "likes", "value": 74, "label": "likes"}], "score_components": {"relevance": 30, "freshness": 20.5, "evidence": 5, "coverage": 15, "primary": 0, "engagement": 6.2}, "momentum": 21.2, "significance": 56.3, "news_at": "2026-10-16T04:58:07Z", "enterprise_reasons": [], "also": [], "cloud_availability": []}, {"id": "9f287de3fb366514ca8a", "title": "distributedcognition/DeepSeek-V4.1-Flash-abliterated", "url": "https://huggingface.co/distributedcognition/DeepSeek-V4.1-Flash-abliterated", "discussion_url": null, "source": "Replicate Hype", "sources": ["Replicate Hype"], "category": "models", "topic": "Models", "published_at": "2026-10-16T19:59:21Z", "date_kind": "updated", "original_published_at": null, "score": 76.0, "reasons": ["Model update", "Model or repository link", "4 independent platforms"], "summary": "", "metrics": [{"kind": "likes", "value": 16, "label": "likes"}], "score_components": {"relevance": 30, "freshness": 21.9, "evidence": 5, "coverage": 15, "primary": 0, "engagement": 4.1}, "momentum": 19.1, "significance": 54.1, "news_at": "2026-10-16T19:59:21Z", "enterprise_reasons": [], "also": [], "cloud_availability": []}, {"id": "42ecc5d0b65abd4e872d", "title": "DavidAU/Qwen3.8-27B-Turbo-Brilliance-50X-Reasoning-Instruct-NEO-MAX-MTP-GGUF", "url": "https://huggingface.co/DavidAU/Qwen3.8-27B-Turbo-Brilliance-50X-Reasoning-Instruct-NEO-MAX-MTP-GGUF", "discussion_url": null, "source": "Replicate Hype", "sources": ["Replicate Hype"], "category": "models", "topic": "Models", "published_at": "2026-10-17T22:46:13Z", "date_kind": "updated", "original_published_at": null, "score": 73.7, "reasons": ["Model update", "Includes measurements", "Model or repository link"], "summary": "— HELP MENU & Interactive Session", "metrics": [{"kind": "likes", "value": 155, "label": "likes"}], "score_components": {"relevance": 30, "freshness": 24.4, "evidence": 12, "coverage": 0.0, "primary": 0, "engagement": 7.3}, "momentum": 7.3, "significance": 49.3, "news_at": "2026-10-17T22:46:13Z", "enterprise_reasons": [], "also": [], "cloud_availability": []}, {"id": "572d9b4b82e8bfa8030e", "title": "DavidAU/Qwen3.8-Flash-Next-Abliterated-Uncensored-Turbo-Brilliance-50x-Reasoning-Instruct-GSQ-RCO-GGUF", "url": "https://huggingface.co/DavidAU/Qwen3.8-Flash-Next-Abliterated-Uncensored-Turbo-Brilliance-50x-Reasoning-Instruct-GSQ-RCO-GGUF", "discussion_url": null, "source": "Replicate Hype", "sources": ["Replicate Hype"], "category": "models", "topic": "Models", "published_at": "2026-10-17T22:37:50Z", "date_kind": "updated", "original_published_at": null, "score": 71.8, "reasons": ["Model update", "Model or repository link", "2 independent platforms"], "summary": "All models are evaluated against the BF16 base model.", "metrics": [{"kind": "likes", "value": 28, "label": "likes"}], "score_components": {"relevance": 30, "freshness": 24.4, "evidence": 5, "coverage": 7.5, "primary": 0, "engagement": 4.9}, "momentum": 12.4, "significance": 47.4, "news_at": "2026-10-17T22:37:50Z", "enterprise_reasons": [], "also": [], "cloud_availability": []}, {"id": "ed2e9af2ba43b9ee6a6a", "title": "DavidAU/Qwen3.8-Flash-Next-Turbo-Brilliance-50x-Reasoning-Instruct-GSQ-RCO-GGUF", "url": "https://huggingface.co/DavidAU/Qwen3.8-Flash-Next-Turbo-Brilliance-50x-Reasoning-Instruct-GSQ-RCO-GGUF", "discussion_url": null, "source": "Replicate Hype", "sources": ["Replicate Hype"], "category": "models", "topic": "Models", "published_at": "2026-10-17T22:38:52Z", "date_kind": "updated", "original_published_at": null, "score": 71.4, "reasons": ["Model update", "Model or repository link", "2 independent platforms"], "summary": "All models are evaluated against the BF16 base model.", "metrics": [{"kind": "likes", "value": 22, "label": "likes"}], "score_components": {"relevance": 30, "freshness": 24.4, "evidence": 5, "coverage": 7.5, "primary": 0, "engagement": 4.5}, "momentum": 12.0, "significance": 47.0, "news_at": "2026-10-17T22:38:52Z", "enterprise_reasons": [], "also": [], "cloud_availability": []}, {"id": "c157680f52c603d54bf7", "title": "DeepSeek Just Released V4.1-Flash-1017, Scores 77.0 on DeepSWE, Opens Search API", "url": "https://www.marktechpost.com/2026/10/17/deepseek-just-released-v4-1-flash-1017-scores-77-0-on-deepswe-opens-search-api", "discussion_url": null, "source": "MarkTechPost", "sources": ["MarkTechPost", "r/LocalLLaMA"], "category": "media", "topic": "Model release", "published_at": "2026-10-17T08:53:58Z", "date_kind": "published", "original_published_at": null, "score": 71.2, "reasons": ["Model release", "Includes measurements", "Model or repository link", "4 independent platforms"], "summary": "DeepSeek has just released DeepSeek-V4.1-Flash-1017, a new checkpoint of its V4.1-Flash model. It is live on the DeepSeek website, app and API. DeepSeek claims stronger scores, faster task completion and shorter outputs than the September V4.1-Flash release. The company calls it a Pareto improvement in performance and cost. Alongside it, DeepSeek opened its Search and Fetch APIs to every developer. For agent builders, that means a cheaper coding model plus a first-party web layer behind one API key. TL;aDR Size: 552B backbone parameters plus 196B Engram parameters. It activates 8B parameters per token in prefill and 16B in decode.", "metrics": [], "score_components": {"relevance": 30, "freshness": 14.2, "evidence": 12, "coverage": 15, "primary": 0, "engagement": null}, "momentum": 15, "significance": 57.0, "news_at": "2026-10-17T08:53:58Z", "enterprise_reasons": [], "also": [{"source": "r/LocalLLaMA", "title": "DeepSeek V4.1 Flash (1017) Now Leads Open-Weight Models", "url": "https://www.reddit.com/r/LocalLLaMA/comments/1x8bb6b/deepseek_v41_flash_1017_now_leads_openweight/"}], "cloud_availability": []}, {"id": "c8a52e57d4921ed4e491", "title": "lightx2v/MiniMax-H3-Prompt-Rewriter-LoRA", "url": "https://huggingface.co/lightx2v/MiniMax-H3-Prompt-Rewriter-LoRA", "discussion_url": null, "source": "Replicate Hype", "sources": ["Replicate Hype"], "category": "models", "topic": "Models", "published_at": "2026-10-16T06:45:17Z", "date_kind": "updated", "original_published_at": null, "score": 70.8, "reasons": ["Model update", "Model or repository link", "2 independent platforms"], "summary": "![LightX2V](", "metrics": [{"kind": "likes", "value": 186, "label": "likes"}], "score_components": {"relevance": 30, "freshness": 20.7, "evidence": 5, "coverage": 7.5, "primary": 0, "engagement": 7.6}, "momentum": 15.1, "significance": 50.1, "news_at": "2026-10-16T06:45:17Z", "enterprise_reasons": [], "also": [], "cloud_availability": []}, {"id": "701b26241af77cbc8cc9", "title": "realrebelai/FLUX-3-Image-Klein_GGUFs", "url": "https://huggingface.co/realrebelai/FLUX-3-Image-Klein_GGUFs", "discussion_url": null, "source": "Replicate Hype", "sources": ["Replicate Hype"], "category": "models", "topic": "Models", "published_at": "2026-10-17T16:52:26Z", "date_kind": "updated", "original_published_at": null, "score": 70.5, "reasons": ["Model update", "Model or repository link", "2 independent platforms"], "summary": "", "metrics": [{"kind": "likes", "value": 17, "label": "likes"}], "score_components": {"relevance": 30, "freshness": 23.8, "evidence": 5, "coverage": 7.5, "primary": 0, "engagement": 4.2}, "momentum": 11.7, "significance": 46.7, "news_at": "2026-10-17T16:52:26Z", "enterprise_reasons": [], "also": [], "cloud_availability": []}, {"id": "1f995a7b6889720237af", "title": "Abiray/flux-3-image-klein-sd-GGUF", "url": "https://huggingface.co/Abiray/flux-3-image-klein-sd-GGUF", "discussion_url": null, "source": "Replicate Hype", "sources": ["Replicate Hype"], "category": "models", "topic": "Models", "published_at": "2026-10-17T11:32:25Z", "date_kind": "updated", "original_published_at": null, "score": 70.2, "reasons": ["Model update", "Model or repository link", "2 independent platforms"], "summary": "GGUF quantizations of Black Forest Labs' FLUX 3 Image Klein (16-step distilled checkpoint) for use with ComfyUI-GGUF. ---", "metrics": [{"kind": "likes", "value": 20, "label": "likes"}], "score_components": {"relevance": 30, "freshness": 23.3, "evidence": 5, "coverage": 7.5, "primary": 0, "engagement": 4.4}, "momentum": 11.9, "significance": 46.9, "news_at": "2026-10-17T11:32:25Z", "enterprise_reasons": [], "also": [], "cloud_availability": []}, {"id": "113bd36ec49325c27d2a", "title": "reflection/Beam-1.0-501B-A23B", "url": "https://huggingface.co/reflection/Beam-1.0-501B-A23B", "discussion_url": null, "source": "Replicate Hype", "sources": ["r/LocalLLaMA", "Replicate Hype"], "category": "models", "topic": "Models", "published_at": "2026-10-16T13:22:56Z", "date_kind": "updated", "original_published_at": null, "score": 70.0, "reasons": ["Model update", "Includes measurements", "Model or repository link", "2 independent platforms"], "summary": "Beam models are designed to deliver strong performance for areas such as agentic tool use, coding and general reasoning with an emphasis on token efficient usage.", "metrics": [{"kind": "likes", "value": 36, "label": "likes"}], "score_components": {"relevance": 24, "freshness": 21.3, "evidence": 12, "coverage": 7.5, "primary": 0, "engagement": 5.2}, "momentum": 12.7, "significance": 48.7, "news_at": "2026-10-16T13:22:56Z", "enterprise_reasons": [], "also": [], "cloud_availability": []}, {"id": "37450ca87604eca3af70", "title": "ZhuYuhan/VideoJev-4B", "url": "https://huggingface.co/ZhuYuhan/VideoJev-4B", "discussion_url": null, "source": "Replicate Hype", "sources": ["Replicate Hype"], "category": "models", "topic": "Models", "published_at": "2026-10-17T14:57:00Z", "date_kind": "updated", "original_published_at": null, "score": 67.0, "reasons": ["Model update", "Includes measurements", "Model or repository link"], "summary": "A video System One model based on Qwen/Qwen3.5-4B, using direct candidate scoring for temporal grounding and multiple-choice video QA. Paper · Homepage · Code · Usage guide", "metrics": [{"kind": "likes", "value": 19, "label": "likes"}], "score_components": {"relevance": 24, "freshness": 23.6, "evidence": 15, "coverage": 0.0, "primary": 0, "engagement": 4.3}, "momentum": 4.3, "significance": 43.4, "news_at": "2026-10-17T14:57:00Z", "enterprise_reasons": [], "also": [], "cloud_availability": []}, {"id": "9528bbc271dc54c85de4", "title": "vllm-sr/d3-flash", "url": "https://huggingface.co/vllm-sr/d3-flash", "discussion_url": null, "source": "Replicate Hype", "sources": ["Replicate Hype"], "category": "models", "topic": "Models", "published_at": "2026-10-17T15:02:08Z", "date_kind": "updated", "original_published_at": null, "score": 65.8, "reasons": ["Model update", "Includes measurements", "Model or repository link"], "summary": "d3-flash is the 9B multimodal foundation decision model of Decision 3.", "metrics": [{"kind": "likes", "value": 70, "label": "likes"}], "score_components": {"relevance": 24, "freshness": 23.6, "evidence": 12, "coverage": 0.0, "primary": 0, "engagement": 6.2}, "momentum": 6.2, "significance": 42.2, "news_at": "2026-10-17T15:02:08Z", "enterprise_reasons": [], "also": [], "cloud_availability": []}, {"id": "f8e9418af7c31a957c85", "title": "DavidAU/LFM2.5-24B-A2B-Turbo-Brilliance-50X-NEO-MAX-Imatrix-GGUF", "url": "https://huggingface.co/DavidAU/LFM2.5-24B-A2B-Turbo-Brilliance-50X-NEO-MAX-Imatrix-GGUF", "discussion_url": null, "source": "Replicate Hype", "sources": ["Replicate Hype"], "category": "models", "topic": "Models", "published_at": "2026-10-17T22:36:01Z", "date_kind": "updated", "original_published_at": null, "score": 65.2, "reasons": ["Model update", "Includes measurements", "Model or repository link"], "summary": "1.", "metrics": [{"kind": "likes", "value": 27, "label": "likes"}], "score_components": {"relevance": 24, "freshness": 24.4, "evidence": 12, "coverage": 0.0, "primary": 0, "engagement": 4.8}, "momentum": 4.8, "significance": 40.8, "news_at": "2026-10-17T22:36:01Z", "enterprise_reasons": [], "also": [], "cloud_availability": []}, {"id": "d60f5af68ddceeb2229b", "title": "Meet Kyutai REKI: The 2.4B VLA Model Bringing Efficient Memory to Robot Manipulation", "url": "https://www.marktechpost.com/2026/10/17/meet-kyutai-reki-the-2-4b-vla-model-bringing-efficient-memory-to-robot-manipulation", "discussion_url": null, "source": "MarkTechPost", "sources": ["MarkTechPost"], "category": "media", "topic": "Model release", "published_at": "2026-10-17T20:22:11Z", "date_kind": "published", "original_published_at": null, "score": 64.8, "reasons": ["Model release", "Includes measurements", "Model or repository link"], "summary": "Kyutai, with Inria and École des Ponts, has released REKI, a 2.4B vision-language-action model (VLA) for robot manipulation. The REKI vision-language-action model is pretrained only on public data. It also carries a cheap memory of its recent past. On three out-of-distribution benchmarks, only models about twice its size beat it. All weights are live on Hugging Face today. TL;DR Size: 2.4B parameters (2.2B Qwen3.5-2B VLM + 0.2B flow-matching action expert). Memory covers the last 3 frames, 1 s apart. Runs on: Benchmarked on 1 NVIDIA H100. 21.8 ms per action chunk, compiled, from 2 cameras at 256×256. Weights ship in BF16.", "metrics": [], "score_components": {"relevance": 30, "freshness": 19.8, "evidence": 15, "coverage": 0.0, "primary": 0, "engagement": null}, "momentum": 0.0, "significance": 45.0, "news_at": "2026-10-17T20:22:11Z", "enterprise_reasons": [], "also": [], "cloud_availability": []}, {"id": "27dae4e947975abb5f14", "title": "vllm-sr/d3-nano", "url": "https://huggingface.co/vllm-sr/d3-nano", "discussion_url": null, "source": "Replicate Hype", "sources": ["Replicate Hype"], "category": "models", "topic": "Models", "published_at": "2026-10-17T15:02:26Z", "date_kind": "updated", "original_published_at": null, "score": 64.8, "reasons": ["Model update", "Includes measurements", "Model or repository link"], "summary": "d3-nano is the 2B multimodal foundation decision model of Decision 3.", "metrics": [{"kind": "likes", "value": 34, "label": "likes"}], "score_components": {"relevance": 24, "freshness": 23.6, "evidence": 12, "coverage": 0.0, "primary": 0, "engagement": 5.1}, "momentum": 5.1, "significance": 41.2, "news_at": "2026-10-17T15:02:26Z", "enterprise_reasons": [], "also": [], "cloud_availability": []}, {"id": "7bbf9fafaa0ea7e810e9", "title": "turboderp/GLM-5.3-Flash-exl3", "url": "https://huggingface.co/turboderp/GLM-5.3-Flash-exl3", "discussion_url": null, "source": "Replicate Hype", "sources": ["Replicate Hype"], "category": "models", "topic": "Models", "published_at": "2026-10-17T15:46:50Z", "date_kind": "updated", "original_published_at": null, "score": 64.7, "reasons": ["Model update", "Model or repository link"], "summary": "2.05 bits per weight 3.05 bits per weight 4.05 bits per weight", "metrics": [{"kind": "likes", "value": 60, "label": "likes"}], "score_components": {"relevance": 30, "freshness": 23.7, "evidence": 5, "coverage": 0.0, "primary": 0, "engagement": 6.0}, "momentum": 6.0, "significance": 41.0, "news_at": "2026-10-17T15:46:50Z", "enterprise_reasons": [], "also": [], "cloud_availability": []}]}