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AI モデル 85004

• qwen2.5-vl-32b-instruct↗

  阿里巴巴 · Qwen

  In addition to the original formula, we have further enhanced Qwen2.5-VL-32B's mathematical and problem-solving abilities through reinforcement learning. This has also significantly improved the model's subjective user experience, with response styles adjusted to better align with human preferences. Particularly for objective queries such as mathematics, logical reasoning, and knowledge-based Q&A, the level of detail in responses and the clarity of formatting have been noticeably enhanced. In the past five months since Qwen2-VL’s release, numerous developers have built new models on the Qwen2-VL vision-language models, providing us with valuable feedback. During this period, we focused on building more useful vision-language models. Today, we are excited to introduce the latest addition to the Qwen family: Qwen2.5-VL. * **Understand things visually**: Qwen2.5-VL is not only proficient in recognizing common objects such as flowers, birds, fish, and insects, but it is highly capable of analyzing texts, charts, icons, graphics, and layouts within images.

• Qwen2D-VAE↗

  Anzhc

  A modification of Qwen-Image-VAE to remove temporal dimension, collapsing it from 3D to 2D. Primarily meant for caching latents for training, but also can be used in ComfyUI to save a second ever so often. Because you don't need temporal dimension for Image models (unless you're doing research related to temporally consistent gens on them). Collapsing it to 2D does not alter output, while reducing required VRAM 3x, and speeding it up 2.5x.

• Mistral-7B-Instruct-v0.3-Jbliterated↗

  ApolloRaines

• gpt-fr-cased-small↗

  asi

• EVE-7B-HD-v2.0↗

  BAAI

• Gryphe_Tiamat-24B-Magistral-GGUF↗

  bartowski

• MiniMaxAI_MiniMax-M2.7-GGUF↗

  bartowski

  If running with CUDA on a model that has `Q4_K` or `Q5_K` for `61.blk.ffn_down_exps` you should compile with the following flag: to avoid `NaN` activations. This is most likely an issue in `llama.cpp` itself and will hopefully be resolved, but in the meantime this fixes the issue. You can check in the info on huggingface which models are affected, but it seems to be `Q5_K_S`, `Q4_K_S`, `Q3_K_XL`, `Q3_K_L`, `Q3_K_M`, `IQ3_M`, `IQ3_XS`, and `IQ3_XXS`

• bert-base-arabic-camelbert-mix-did-nadi↗

  CAMeL-Lab

• firered-aed-l-v2↗

  chameleon-ai

• flint-oQ4e-fp16↗

  chimpanzeetaxidriver