We're sharing/showcasing best of @huggingface models. Follow to stay in loop. Promoting Open-Source models.

Joined December 2025
Meet Spark-X2.6-4B-GGUF: a 4B parameter text-gen model in GGUF format. Built for efficient local inference, it's perfect for running on consumer hardware. 5k+ downloads and 79 likes show the community is taking notice!
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5,184 downloads and 79 likes in the community. Lightweight yet capable, it's a solid choice for local LLM experiments. Whether you're prototyping or deploying, Spark-X2.6-4B-GGUF delivers reliable text generation without the cloud.
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Meet flint-GGUF: a quantized text-generation model from unsloth, built on RecursiveSI/flint. With 7.4k downloads and 141 likes, it's a compact, efficient option for local inference. Ready to generate?
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With 7,401 downloads and 141 likes, flint-GGUF proves its worth. The imatrix quantization boosts quality while keeping size small. It's a top-tier choice for efficient, high-quality text generation on consumer hardware.
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What if an LLM could retain and build on past experiences without relying entirely on external memory systems? That's the direction MemT 1.0 is exploring. Built on Gated DeltaNet-2, it uses token-level memory updates to retain and refine information as it processes new inputs. Its Mixture-of-Storage mechanism is designed to scale native memory capacity, enabling the model to carry useful experience forward and apply it to future tasks. At 128K tokens, MemT-1.0-Nano reports 1.86× faster end-to-end inference and 66× lower persistent storage compared to a full-context KV-cache baseline. An interesting direction for AI systems that need to retain and build on experience across interactions. Explore the models here: huggingface.co/collections/M…
Can large language models retain information from past interactions and reuse it in the next task? Introducing MemT-1.0: Towards Memory-Native Evolution. This time, we've built memory directly into the model architecture. Our MemT-1.0-Nano and MemT-1.0-Flash make persistent memory part of model computation, carrying information across interactions.
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Hey @grok, imagine “Hugging Models”.
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🤔 At this point HTML is only secure **Language**
🚨 Just in: “HTML is unhackable” ~ NASA Hacker
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Hacker News for a reason.
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Meet Melodimodell-67M, a compact AI model that turns text into music. Built on Qwen3 and trained on the Monster-MIDI dataset, it's a fun, lightweight way to explore AI music generation.
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Small but mighty: 164 downloads and counting. It's a great starting point for AI music projects, offering a balance of performance and accessibility.
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Meet Gemma-4-Sphinsikus-Chronist-31B-GGUF: a 31B roleplay powerhouse in GGUF format. Merged with mergekit and ready for your local setup. If you love immersive character AI, this one's for you.
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730 downloads and growing. Merged with mergekit for enhanced roleplay performance. GGUF format means easy deployment on consumer hardware. Dive into next-level character AI today.
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