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AI モデル 84759

• NeuralLLaMa-3-8b-DT-v0.1↗

  Kukedlc

  NeuralLLaMa-3-8b-DT-v0.1 is a merge of the following models using LazyMergekit: * mlabonne/ChimeraLlama-3-8B-v2 * nbeerbower/llama-3-stella-8B * uygarkurt/llama-3-merged-linear

• qwen-2.5-coder-1.5b-svelte↗

  kusonooyasumi

• polygloss-byt5-interleaved-2025-12-28↗

  lecslab

• LFM3-1.7B-MLX-8bit↗

  LiquidAI

• llava-v1.6-vicuna-7b-hf↗

  llava-hf

  The LLaVA-NeXT model was proposed in LLaVA-NeXT: Improved reasoning, OCR, and world knowledge by Haotian Liu, Chunyuan Li, Yuheng Li, Bo Li, Yuanhan Zhang, Sheng Shen, Yong Jae Lee. LLaVa-NeXT (also called LLaVa-1.6) improves upon LLaVa-1.5 by increasing the input image resolution and training on an improved visual instruction tuning dataset to improve OCR and common sense reasoning. Disclaimer: The team releasing LLaVa-NeXT did not write a model card for this model so this model card has been written by the Hugging Face team. LLaVa combines a pre-trained large language model with a pre-trained vision encoder for multimodal chatbot use cases. LLaVA 1.6 improves on LLaVA 1.5 BY: - More diverse and high quality data mixture - Dynamic high resolution

• harrier-oss-v1-0.6b↗

  Microsoft

  harrier-oss-v1 is a family of multilingual text embedding models developed by Microsoft. The models use decoder-only architectures with last-token pooling and L2 normalization to produce dense text embeddings. They can be applied to a wide range of tasks, including but not limited to **retrieval**, **clustering**, **semantic similarity**, **classification**, **bitext mining**, and **reranking**. The models achieve state-of-the-art results on the Multilingual MTEB v2 benchmark as of the release date. All models are trained with contrastive learning objectives on a large-scale mixture of multilingual datasets covering diverse tasks. The 270m and 0.6b variants are additionally trained with knowledge distillation from larger embedding models. Below is an example to encode queries and passages from the MS-MARCO passage ranking dataset.

• Qwen3.5-9B-8bit↗

  mlx-community

• Qwen3.8-Flash-Next-Uncensored-oQ6e-mtp↗

  mlx-community

• GLM-5.3-Flash-Heretic-Abliterated-LoRA-V3-GGUF↗

  MorinoNushi

• MOSS-Image↗

  MOSSImagefok