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Contents

GitHub
AI Deploy·2026
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club-3090

noonghunna

Provides reusable Docker compose files, scripts and benchmarked configs to serve modern LLMs (Qwen, Gemma, etc.) on 1–2 NVIDIA RTX 3090/4090/5090 GPUs. Multi-engine (vLLM, llama.cpp, ik_llama), measured TPS/context tradeoffs, and validated single/dual‑GPU recipes.

#qwen#vllm#llama.cpp#gguf#docker+10
Hugging Face
AI Model·2026
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PiD — Pixel Diffusion Decoder

Yifan Lu, Qi Wu +6

Converts latent representations into high-resolution images by using a conditional pixel-space diffusion decoder that merges decoding and upsampling into a single generative step. Released checkpoints are 4-step distilled (2k and 2kto4k variants) and pair with specific VAE/encoder weights; license restricts use to non-commercial research.

#pytorch#huggingface#nvidia#ai-image#image+2
Hugging Face
AI Dataset·2026
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PhysicalAI-WorldModel-Synthetic-Digital-Human-Scenes (SDG-SynHuman)

NVIDIA Corporation

Large-scale synthetic video dataset of 236,937 1080p clips (≈5,841 hours) of digital humans with per-frame metric depth and camera parameters — built as a controllable supplement for world-model pretraining, camera-motion generalization, and geometry-aware physical-AI research.

#video#depth#nvidia#huggingface#ai-video+2
Hugging Face
AI Model·2026
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Ling-2.6-flash

inclusionAI

An instruct-focused LLM (104B total, 7.4B active) optimized for fast, token-efficient inference in agent workflows. Uses hybrid linear attention plus a sparse MoE to raise throughput and cut token use; suited for high-frequency production agents, with some trade-offs in very deep reasoning.

#foundation-model#huggingface#llm#ai-inference#vllm+5
Hugging Face
AI Dataset·2026
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BhasaFlow Khasi Monolingual Corpus v1

Medharvix Systems Private Limited

Curated monolingual Khasi sentence corpus (CSV) with under 1,000 sentences for language modeling, tokenization, and low-resource NLP experiments. Single-column structure (khasi_sentence) and CC BY‑NC 4.0 license — suitable for research and data-augmentation workflows, not for commercial use.

#huggingface#nlp#pandas#python#ai
GitHub
Chatbot·2026
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DeskcommCRM

melgarafael·Deskcomm, HostGator +2

Self-hosted sales CRM that runs native AI agents (RAG per tenant) to handle WhatsApp conversations, qualify leads, trigger automations and move deals through configurable pipelines. Multi-tenant with LGPD-minded controls and a one-command VPS installer for full data ownership.

#chatbot#ai-agent#agent-skills#RAG#mcp-server+7
Hugging Face
AI Dataset·2026
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Aesir Character CoT Roleplay

beyoru

Contains ~1,973 distilled roleplay conversations with character-perspective chain-of-thought traces (<think> blocks) for fine-tuning persona-focused chat models. Includes teacher provenance, safety/review flags, and filters for NSFW/borderline samples — suited for SFT and character retention tests.

#huggingface#deepseek#nlp#llm#pandas+3
Hugging Face
AI Dataset·2026
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BhasaFlow Khasi-English Parallel Sample v1

Medharvix Systems Private Limited

Provides 100 English–Khasi parallel sentence pairs with aligned studio-quality WAV recordings for ASR, TTS and translation evaluation; curated by Medharvix as a restricted public sample—full corpus available by request.

#huggingface#multilingual#translation#speech#audio+2
Hugging Face
AI Dataset·2026
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SenseNova-SI-8M

sensenova

Curated multimodal training corpus for spatial intelligence: ~8.16M QA-style samples paired with ~2.72M unique images (≈1.1 TB). Provides JSONL annotations, a 1,000-sample preview, and 52 independent image archives — used to train SenseNova-SI models.

#multimodal#vision#image#huggingface#foundation-model+3
Hugging Face
AI Model·2026
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Ling-2.6-1T

inclusionAI

A trillion-parameter LLM optimized for long-context, low-latency text generation and agentic coding workflows. Combines MLA+Linear Attention and a post-training 'fast thinking' token-suppression strategy to reduce token overhead and improve multi-step execution reliability for production agents.

#transformers#llm#huggingface#vllm#ai-inference+5
Hugging Face
AI Model·2026
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TenStrip/LTX2.3-10Eros

TenStrip

Image-to-video (I2V) diffusion model merge tuned for prompt-conditioned motion and evolution. Uses layer-scaled weight merges (not straight averaging) with BF16 and FP8 checkpoint options; prompt engineering is required for predictable motion and audio. Avoid large distilled Loras for best results.

#huggingface#multimodal#ai-video#ai-image#AIGC+1
Hugging Face
AI Model·2026
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Qwen3.5-9B-DeepSeek-V4-Flash

Jackrong

Distills DeepSeek‑V4's multi-step structured reasoning into a Qwen3.5‑9B model for fast image-text-to-text reasoning and agentic tool workflows. Trades larger teacher size for inference efficiency and improved procedural reasoning — good for low-latency research, evaluation, and agent integration.

#deepseek#transformers#llm#multilingual#huggingface+5
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