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alkinun

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AI & ML interests

LLMs, Alignment, Merging, Unsloth, DPO, SFT, ORPO, SPIN..

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reacted to sweatSmile's post with ❤️ about 17 hours 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 sweatSmile's post with 🚀 about 17 hours 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.
replied to dhruv3006's post about 20 hours ago
GPT 5 for Computer Use agents. Same tasks, same grounding model we just swapped GPT 4o with GPT 5 as the thinking model. Left = 4o, right = 5. Watch GPT 5 pull away. Reasoning model: OpenAI GPT-5 Grounding model: Salesforce GTA1-7B Action space: CUA Cloud Instances (macOS/Linux/Windows) The task is: "Navigate to {random_url} and play the game until you reach a score of 5/5”....each task is set up by having claude generate a random app from a predefined list of prompts (multiple choice trivia, form filling, or color matching)" Try it yourself here : https://github.com/trycua/cua Docs : https://docs.trycua.com/docs/agent-sdk/supported-agents/composed-agents
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