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Hugging Face
AI Dataset·2026
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ABC-130k

XDOF, UC Berkeley +3

Provides 130k+ bimanual teleoperation trajectories for robot imitation learning, recorded on low-cost YAM two-arm rigs and shared as MCAP episodes with subtask annotations, training code, and checkpoints.

#robotics#video#huggingface#ai-train#ai-development
Hugging Face
AI Model·2026
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GLM-5.2

Z.ai (zai-org)

Provides a large language model optimized for long-horizon agentic tasks and end-to-end coding workflows — with a stable 1,000,000-token context, IndexShare sparse-attention and multi-level thinking-effort modes. MIT-licensed and designed for deployments that need sustained long-context reasoning and coding.

#foundation-model#vibe-coding#deepseek#transformers#llm+4
Hugging Face
AI Image·2026
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Krea 2 (Comfy-Org/Krea-2)

Comfy-Org, Krea

Provides ComfyUI-ready repackaged checkpoints of the Krea 2 image model family for local text-to-image workflows. Includes RAW (undistilled base for fine-tuning and LoRA training) and Turbo (8-step distilled checkpoint for fast inference), using a Qwen Image VAE and Qwen3‑VL encoder.

#qwen#diffusers#huggingface#ai-image#image+2
Hugging Face
AI Model·2026
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GLM-5.2-FP8

zai-org, GLM-5 Team +1

Provides FP8-quantized weights of GLM-5.2 — a 744B long-context LLM tuned for sustained 1M-token engineering, coding and agentic workflows; compatible with vLLM, Transformers, SGLang and Ascend NPU deployments.

#foundation-model#vibe-coding#transformers#huggingface#llm+4
Hugging Face
AI Dataset·2026
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Nemotron-Personas-Belgium

Pieter Delobelle, Pierre-Carl Langlais +12·Pleias, NVIDIA Corporation +1

Provides 1.8M synthetic Belgian personas (1.2M records; 300k per language) in Dutch/French/German/English, grounded in Belgian census distributions to improve representativeness for LLM training and evaluation. Includes 23 persona and contextual fields, CC BY 4.0 license, produced with NeMo Data Designer.

#nvidia#huggingface#nlp#LLM#gemma+3
Hugging Face
AI Model·2026
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GLM-5.2 (Unsloth GGUF)

unsloth, Z.ai (zai-org/GLM-5)

Provides GGUF-quantized GLM-5.2 builds for local text-generation with a solid 1M-token context, dynamic 1-/2-bit quant options, and Unsloth runtime integrations — targeted at long-horizon coding, reasoning and agent workflows. MIT licensed.

#llm#huggingface#vllm#transformers#ai-inference+3
Hugging Face
AI Dataset·2026
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Claude Fable-5 Code

PawanKrd

Contains 603 coding and math prompt–response pairs produced by Claude Fable‑5 (generated 2026-06-10), provided as a JSONL subset for fine-tuning, evaluation, and behavior analysis. Responses are 'non-thinking' (no chain-of-thought); small, anonymized, and lacking an explicit license.

#code#claude#claude-code#huggingface#json+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
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
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