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chore(model gallery): 🤖 add new models via gallery agent
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gallery/index.yaml

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- filename: Tlacuilo-12B.i1-Q4_K_M.gguf
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sha256: 94218112aa02113c8e21cd2c1d10818bea39bc6aee7e67be6014f86e80e76cb1
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uri: huggingface://mradermacher/Tlacuilo-12B-i1-GGUF/Tlacuilo-12B.i1-Q4_K_M.gguf
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- !!merge <<: *qwen25
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name: "positivedetox-qwen2.5-14b"
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urls:
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- https://huggingface.co/mradermacher/PositiveDetox-Qwen2.5-14B-GGUF
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description: |
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**Model Name:** PositiveDetox-Qwen2.5-14B
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**Base Model:** Qwen2.5-14B-Instruct (finetuned from `unsloth/qwen2.5-14b-instruct-unsloth-bnb-4bit`)
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**Developer:** theprint
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**License:** Apache 2.0
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**Description:** A fine-tuned version of Qwen2.5-14B designed to reduce toxic positivity in AI-generated responses. Trained on the Positive Detox dataset, this model promotes balanced, authentic, and empathetic communication—avoiding overly cheerful or dismissive language in sensitive contexts. Ideal for applications where nuanced, human-centered responses are critical.
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**Optimization:** Fine-tuned using Unsloth and Hugging Face TRL for accelerated training.
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**Use Case:** Conversational AI, mental health support tools, ethical content generation, and any scenario requiring thoughtful, non-toxic dialogue.
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> *Note: The GGUF version available at `mradermacher/PositiveDetox-Qwen2.5-14B-GGUF` is a quantized variant of this model, optimized for local inference.*
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overrides:
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parameters:
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model: PositiveDetox-Qwen2.5-14B.Q4_K_S.gguf
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files:
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- filename: PositiveDetox-Qwen2.5-14B.Q4_K_S.gguf
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sha256: abd224325aea504a61fb749cc12649641165c33035b4e5923163387370878005
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uri: huggingface://mradermacher/PositiveDetox-Qwen2.5-14B-GGUF/PositiveDetox-Qwen2.5-14B.Q4_K_S.gguf

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