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AI 모델 85003

• QWQ-stock-i1-GGUF↗

  mradermacher

• Roy-v1-GGUF↗

  mradermacher

• T3Q-Platypus-Mistral7B-GGUF↗

  mradermacher

• Unsafe-Llama-3-8B-i1-GGUF↗

  mradermacher

• urdu-llm-model-v6-GGUF↗

  mradermacher

• WhiteRabbitNeo-2.5-Qwen-2.5-Coder-7B-OBLITERATED-i1-GGUF↗

  mradermacher

• Xwen-7B-Chat-GGUF↗

  mradermacher

• gemma-4-E4B-it-The-DECKARD-Expresso-Universe-HERETIC-UNCENSORED-Thinking-mxfp8-mlx↗

  nightmedia

• AceInstruct-7B↗

  NVIDIA

• Llama-3.1-Nemotron-Nano-8B-v1↗

  NVIDIA

  Llama-3.1-Nemotron-Nano-8B-v1 is a large language model (LLM) which is a derivative of Meta Llama-3.1-8B-Instruct (AKA the reference model). It is a reasoning model that is post trained for reasoning, human chat preferences, and tasks, such as RAG and tool calling. Llama-3.1-Nemotron-Nano-8B-v1 is a model which offers a great tradeoff between model accuracy and efficiency. It is created from Llama 3.1 8B Instruct and offers improvements in model accuracy. The model fits on a single RTX GPU and can be used locally. The model supports a context length of 128K. This model underwent a multi-phase post-training process to enhance both its reasoning and non-reasoning capabilities. This includes a supervised fine-tuning stage for Math, Code, Reasoning, and Tool Calling as well as multiple reinforcement learning (RL) stages using REINFORCE (RLOO) and Online Reward-aware Preference Optimization (RPO) algorithms for both chat and instruction-following. The final model checkpoint is obtained after merging the final SFT and Online RPO checkpoints. Improved using Qwen.