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Clement Delangue published a Hugging Face collection named “DeepSpec” on…

2026-06-28 · 21:10 UTC ·@ClementDelangue ·0 min read

Brief

Clement Delangue posted a Hugging Face “DeepSpec” collection (2026-06-28) assembling curated models, datasets, papers and Spaces from deepseek-ai. A commenter (@teortaxesTex) calls out accelerated models in the collection, singles out Gemma4-12B (12B, likely with vision) as a standout local-weight-class model, and suggests Qwen 3.5 was excluded because DSpark lacks linear-attention support.

Why it matters

Clement Delangue published a Hugging Face collection named “DeepSpec” on 2026-06-28 that curates handpicked models, datasets, papers, and Spaces from deepseek-ai.

Key details

  • User @teortaxesTex highlights that DeepSeek provides accelerated models and flags Gemma4-12B (12B weights, likely vision-capable) as the most interesting entry and possibly the best local model in its weight class.
  • The tweet notes Qwen 3.5 is absent from the collection, attributing that omission to DeepSeek’s DSpark not supporting linear-attention architectures.
Source evidence

huggingface.co/collections/d…

Link

DeepSpec - a deepseek-ai Collection

Unlock the magic of AI with handpicked models, awesome datasets, papers, and mind-blowing Spaces from deepseek-ai
huggingface.co

Teortaxes▶️ (DeepSeek 推特🐋铁粉 2023 – ∞) (@teortaxesTex)

Good guy DeepSeek gives us accelerated models
The most interesting one here is Gemma4-12B, I presume vision included. Might be the best local model in its weight class now, by some margin
Qwen 3.5 not included because DS[park] doesn't do linear attention I guess

— https://nitter.net/teortaxesTex/status/2071313710585356462#m