🧰 Hugging Face Transformers

The items that name it 10

• Build specialized multimodal models with LFM3
  articleas frameworks and tools2026-10-27

  Library used to run all LFM3 models; versions 5.19, 5.20.2 and 5.21.0 or later are required for different models.

• Amazon’s Trainium Takes a Strike at the Training King
  articleas frameworks and tools2026-10-23

  Part of the PyTorch ecosystem that Trainium Torch supports.

• Run fast, private agents on-device with LFM2.5-24B-A2B
  articleas frameworks and tools2026-10-13

  Library used to load and run the model (transformers>=5.0.0)

• Sub-1-Bit LLM Compression via Latent Factorization
  repoas frameworks and tools2026-10-08

  Library providing the model implementations; pinned to version 4.51.x to reproduce the paper's results since newer releases may change model internals or evaluation behavior.

• [AINews] Opus 5.5 is good at explainer videos
  articleas frameworks and tools2026-09-29

  Now natively loads GGUF/llama.cpp quantized checkpoints via AutoModelForCausalLM.from_pretrained(gguf_file=...), exposing them through standard Transformers APIs

• [AINews] The Future of Latent Space
  articleas frameworks and tools2026-09-25

  now natively loads GGUF/llama.cpp quantized checkpoints via AutoModelForCausalLM.from_pretrained(gguf_file=...)

• Transformers now runs llama.cpp quants
  articleas classification.technologies2026-09-22
• NeoMME: an efficient Multimodal-native and Multilingual Encoder
  articleas frameworks and tools2026-09-03

  Library through which NeoMME and NeoMME-Retriever checkpoints are released and used for inference (NeoMMEForRetrieval, NeoMMEProcessor, NeoMMEModel classes)

• whitecircle/halo
  repoas frameworks and tools2026-08-26

  Base model library Halo trainers subclass and remain compatible with; checkpoints stay standard SafeTensors.

• Qwen3.8-27B (Apache-2.0, multimodal dense, 262k ctx)
  repoas frameworks and tools

  Load and run the model via pipeline or AutoModelForMultimodalLM