oxy-1-small-GGUF
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Explore AI models 919
pair-preference-model-LLaMA3-8B-GGUF
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View details ↗palmyra-mini-thinking-a-GGUF
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View details ↗palmyra-mini-thinking-b-GGUF
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View details ↗Pantheon-RP-1.0-8b-Llama-3-GGUF
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View details ↗Pantheon-RP-1.5-12b-Nemo-GGUF
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View details ↗Pantheon-RP-1.6-12b-Nemo-GGUF
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View details ↗Pantheon-RP-1.6-12b-Nemo-KTO-GGUF
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View details ↗Peach-2.0-9B-8k-Roleplay-GGUF
QuantFactoryPeach-2.0-9B-8k-Roleplay is a chat large language model obtained by finetuning 01-ai/Yi-1.5-9B model on more than 100K conversations created through our data synthesis approach. We completed the final SFT+DPO training in early January, followed by extensive testing, before concluding that this version meets the standards for a commercial release, now freely available to everyone. Our goal is to break the paid monopoly, allowing everyone to have their own local role-playing AI! 1. Compatibility with Silly-Tavern output format, making it easy for every role-playing enthusiast to quickly get started and use! 2. Enhanced the model's writing capabilities, achieving a significant leap in plot output and action description! 3. Strengthened the model's bilingual capabilities, requiring only two lines of prompt to perfectly accommodate English character cards in Chinese conversations! 4. Improved the model's interaction abilities, giving it higher intelligence & emotional quotient in terms of plot progression and topic weaving! 5. Introduced a DPO training phase for preference alignment, addressing issues such as context repetition and logical errors in the SFT model, resulting in superior dialogue performance.
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View details ↗Peach-9B-8k-Roleplay-GGUF
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View details ↗PersianMind-v1.0-GGUF
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View details ↗Ph3della3-14B-GGUF
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View details ↗Ph3task2-14B-GGUF
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View details ↗Ph3task3-14B-GGUF
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View details ↗phi-2-GGUF
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View details ↗Phi-3.5-mini-instruct-GGUF
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View details ↗Phi-3.5-mini-ITA-GGUF
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View details ↗phi-3-clinical-GGUF
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View details ↗Phi-3-mini-128k-instruct-abliterated-v3-GGUF
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View details ↗Phi-3-mini-128k-instruct-GGUF
QuantFactoryThe Phi-3-Mini-128K-Instruct is a 3.8 billion-parameter, lightweight, state-of-the-art open model trained using the Phi-3 datasets. This dataset includes both synthetic data and filtered publicly available website data, with an emphasis on high-quality and reasoning-dense properties. The model belongs to the Phi-3 family with the Mini version in two variants 4K and 128K which is the context length (in tokens) that it can support. After initial training, the model underwent a post-training process that involved supervised fine-tuning and direct preference optimization to enhance its ability to follow instructions and adhere to safety measures. When evaluated against benchmarks that test common sense, language understanding, mathematics, coding, long-term context, and logical reasoning, the Phi-3 Mini-128K-Instruct demonstrated robust and state-of-the-art performance among models with fewer than 13 billion parameters. Resources and Technical Documentation: The model is intended for commercial and research use in English. The model provides uses for applications which require:
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View details ↗Phi-3-mini-4k-geminified-GGUF
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View details ↗Phi-3-mini-4k-instruct-GGUF
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View details ↗Phi-3-mini-4k-instruct-Matter-0.1-Slim-A-GGUF
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View details ↗phi-3-portuguese-tom-cat-4k-instruct-GGUF
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