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Contents

AI Video Papers·2026
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TurboServe: Serving Streaming Video Generation Efficiently and Economically

Youhe Jiang, Haoxu Wang +6·1Shanghai Jiao Tong University, 2Shengshu Technology +1

Serves interactive, long-lived streaming video-generation sessions by jointly scheduling session placement and GPU autoscaling to meet tight per-chunk latency. Combines migration-aware placement, load-driven autoscaling, coalesced chunk processing, GPU–CPU offloading and NCCL GPU–GPU migration; reports ~37% reductions in worst-case per-chunk latency and GPU operating cost.

#video#ai-video#ai-serving#ai-inference#mLOps+4
Hugging Face
AI Audio·2026
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CohereLabs/cohere-transcribe-arabic-07-2026

CohereLabs

Transcribes Arabic speech to text using a CohereLabs-trained ASR model compatible with the Hugging Face Transformers pipeline. Provides safetensors weights, endpoint compatibility and a DOI-tagged release; suitable for Arabic transcription workflows but may require adaptation for diverse dialects or noisy audio.

#ASR#speech#audio#transformers#huggingface+4
Hugging Face
AI Dataset·2026
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arXiv LaTeX Source Dataset

scholarweave

Provides pre-parsed arXiv LaTeX source files aligned with official metadata as ready-to-query Parquet rows. Bundles each paper's .tex/.bib/.sty etc. into a single readable tree, updates monthly, and simplifies large-scale access for LLM pretraining, document understanding, and citation analysis while requiring adherence to original arXiv licenses.

#paper#huggingface#science#llm#ai-development+2
Hugging Face
AI Image·2026
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Krea 2 Turbo

Sangwu Lee, Erwann Millon +14·Krea.ai, Inc.

Generates images from natural-language prompts as an 8-step distilled checkpoint of Krea 2, optimized for fast iterative text-to-image workflows with style references and 1K–2K resolution outputs.

#diffusers#ai-image#image#vision#huggingface+5
GitHub
AI Agent·2026
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tick-stock-panel

shy3130

Self‑hosted A‑share quantitative workbench for screening, monitoring, backtesting and stock-level analysis using TickFlow data; supports 18 Polars strategies, vectorbt backtesting, realtime rule-based alerts, pluginable data sources and optional LLM-driven strategy generation and stock analysis.

#finance#polars#python#react#docker+4
Hugging Face
AI Model·2026
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Gemma4-12B v2 — Coding + Agentic Edition (GGUF)

yuxinlu1

A local, quantized Gemma 4 12B fine-tune packaged as GGUF quants that runs on ~4.5 GB VRAM. Optimized for coding and multi-step agentic tool use (read→reason→act→verify), ships multiple quant sizes (Q3_K_M–Q8_0) and MTP draft support; English-centric with trade-offs versus generalist models.

#gemma#ai-coding#ai-agent#llm#terminal+3
Hugging Face
AI Dataset·2026
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DECOMEG — Brain Activity During Typing (MEG & EEG)

Jarod Lévy, Mingfang Zhang +5·Basque Center on Cognition, Brain and Language (BCBL), HybridMojo LLC +1

Provides de-identified MEG and EEG recordings of 35 native Spanish speakers typing memorized sentences, with synchronized behavioral logs and standardized event tables. Includes raw .fif and BrainVision files plus MATLAB logs (≈262 GB total); released under CC BY-NC 4.0 for non-commercial research on brain-to-text decoding.

#huggingface#science#ai#nlp#python
Hugging Face
AI Dataset·2026
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Complete FABLE.5 Traces 2M

Crownelius

Provides a deduplicated 2.0M-row corpus of FABLE.5 / Mythos agent traces with row-level provenance and session-limit rows removed. Includes canonical Parquet and gzip JSONL exports, SHA256 row hashes, and provenance fields for tracing first-source datasets.

#huggingface#claude-code#vibe-coding#llm#nlp+4
Hugging Face
AI Dataset·2026
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AFTER

Julia Belikova, Rauf Parchiev +5

Benchmark for evaluating procedural skill evolution in LLM agents: isolates reusable skill bodies, role-specific work surfaces, and hidden oracle assets to measure whether skill refinements transfer across tasks, roles, and model backbones. Includes 382 workplace tasks, 22 skills, and a controlled evaluation protocol.

#evaluation#agent-skills#huggingface#llm#ai-agent+2
Hugging Face
AI Model·2026
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Unlimited OCR Works

Youyang Yin, Huanhuan Liu +15·Baidu Inc.

Performs one-shot, long-horizon OCR and document parsing by using Reference Sliding Window Attention (R-SWA) to keep the decoder KV cache constant, enabling single-pass multi-page transcription; code, model weights and an accompanying arXiv report are provided.

#ocr#vision#multimodal#transformers#deepseek+4
Hugging Face
AI Model·2026
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Qwythos-9B-Claude-Mythos-5-1M-GGUF

Empero (empero-ai), Alibaba Qwen team (Qwen3.5-9B base)

Provides GGUF-quantized weights and runtime assets for running the Qwythos-9B reasoning LLM locally via llama.cpp and compatible runtimes. Key features include 1,048,576-token YaRN long-context, native function-calling, multimodal image input (requires mmproj), and multiple quantization/MTP variants tuned for different size/quality tradeoffs.

#qwen#huggingface#llm#multimodal#vision+3
Hugging Face
AI Model·2026
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Qwythos-9B

Empero, Alibaba / Qwen team

A 9B reasoning LLM fine-tuned from Qwen3.5 that ships with a 1,048,576-token context, native function-calling and tool-use, and notable benchmark gains (+34 MMLU, +30 gsm8k-strict).

#qwen#llm#transformers#huggingface#vllm+6
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