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AI 모델 84759

• generalized-neural-memory-iclft-personamem↗

  maxbennett

• Llama-3-8B-Instruct-v0.8↗

  MaziyarPanahi

  `MaziyarPanahi/Llama-3-8B-Instruct-v0.8` is the 5th best-performing 8B model on the Open LLM Leaderboard. (03/06/2024). You can use this model by using `MaziyarPanahi/Llama-3-8B-Instruct-v0.8` as the model name in Hugging Face's transformers library.

• nemotron-asr-streaming-farsi↗

  mehdi-hf

• Llama 2 Chat 70B↗

  Meta

• Mage-VL↗

  Microsoft

  **Mage-VL** is a **codec-native, proactive-streaming multimodal foundation model** for image and video understanding, whose visual encoder is trained **entirely from scratch** at a compact **4B** scale. It targets a modern *Moravec's paradox* of VLMs — strong at complex offline reasoning, yet slow and compute-heavy on simple real-time streaming perception. Instead of decoding video into uniformly-sampled frames and pushing a dense grid of patch tokens through a frozen web-pretrained ViT, Mage-VL follows the structure of modern video codecs: it separates a stream into **anchor (I) frames** and **predicted (P) frames**, keeps every anchor patch, and retains only the predicted-frame patches where the codec spends bits — the regions carrying real motion and new detail. This codec-aligned sparsity cuts visual tokens by **over 75%** while preserving spatio-temporal context, yielding **up to 3.5× wall-clock inference speedup** over uniform frame sampling. On top of this pair, a **System 1 & System 2 dual-process design** adds proactive streaming inside a single model: a lightweight **cognition gate** (System 1) watches each rolling codec window and stays silent on routine content, invoking the full VLM (System 2) only when a response-worthy event completes — no multi-agent pipeline required. A **single checkpoint**, `microsoft/Mage-VL`, is one unified model that **simultaneously** provides image & video understanding **and** the proactive streaming gate — the same weights answer offline image/video questions and drive event-gated commentary. It covers every Mage-VL capability: image understanding, frame-sampled video, traditional H.264/HEVC codec video, neural DCVC-RT codec video, and event-gated streaming. The repository bundles the codec processor, the neural codec package, and the proactive gate weights — no separate understanding, NVC, or streaming checkpoint is required.

• Mistral Small 3↗

  Mistral AI

  Mistral Small 3 is a 24B-parameter language model optimized for low-latency performance across common AI tasks. Released under the Apache 2.0 license, it features both pre-trained and instruction-tuned versions designed...

• DeepSeek-R1-Distill-Llama-8B-q4f32_1-MLC↗

  mlc-ai

• DeepSeek-R1-Distill-Llama-8B-gguf↗

  mmnga

• Apollo-1-8B-i1-GGUF↗

  mradermacher

• BadVibesNemo-12B-i1-GGUF↗

  mradermacher