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gordon roden

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reacted to efecelik's post with 👍 24 days ago
why ACE-Step model isn't popular that much? imo it makes really good music. https://huggingface.co/ACE-Step/ACE-Step-v1-3.5B
reacted to sweatSmile's post with 🚀 6 months ago
Teaching a 7B Model to Be Just the Right Amount of Snark Ever wondered if a language model could get sarcasm? I fine-tuned Mistral-7B using LoRA and 4-bit quantisation—on just ~720 hand-picked sarcastic prompt–response pairs from Reddit, Twitter, and real-life conversations. The challenge? Keeping it sarcastic but still helpful. LoRA rank 16 to avoid overfitting 4-bit NF4 quantization to fit on limited GPU memory 10 carefully monitored epochs so it didn’t turn into a full-time comedian Result: a model that understands “Oh great, another meeting” exactly as you mean it. Read the full journey, tech details, and lessons learned on my blog: Fine-Tuning Mistral-7B for Sarcasm with LoRA and 4-Bit Quantisation Try the model here on Hugging Face: sweatSmile/Mistral-7B-Instruct-v0.1-Sarcasm.
reacted to Abhaykoul's post with 👍 7 months ago
🎉 Dhanishtha 2.0 Preview is Now Open Source! The world's first Intermediate Thinking Model is now available to everyone! Dhanishtha 2.0 Preview brings revolutionary intermediate thinking capabilities to the open-source community. Unlike traditional reasoning models that think once, Dhanishtha can think, answer, rethink, answer again, and continue rethinking as needed using multiple `<think>` blocks between responses. 🚀 Key Features - Intermediate thinking: Think → Answer → Rethink → Answer → Rethink if needed... - Token efficient: Uses up to 79% fewer tokens than DeepSeek R1 on similar queries - Transparent thinking: See the model's reasoning process in real-time - Open source: Freely available for research and development https://huggingface.co/HelpingAI/Dhanishtha-2.0-preview https://helpingai.co/chat
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