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fahrizalfarid

akahana
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NLP

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upvoted an article about 9 hours ago
Ellora: Enhancing LLMs with LoRA - Standardized Recipes for Capability Enhancement
reacted to codelion's post with 🔥 about 10 hours ago
I just published Ellora - 6 production-ready LoRA recipes for enhancing LLMs with specific capabilities. Each recipe costs under $100 to run and includes complete training code, data generation, and evaluation. The 6 Recipes: Recipe 1: Accuracy Recovery - Recover 75% of quantization losses with self-distillation Recipe 2: Reasoning LoRA - Add structured thinking with GRPO (0% to 60% adoption, 75% quality boost) Recipe 3: Tool Calling - Real execution on actual codebases Recipe 4: Context Extension - Scale from 32K to 2M tokens (61x increase) Recipe 5: Secure Code Generation - 97% vulnerability reduction using automated Semgrep analysis Recipe 6: Execution-Aware World Models - Teaching models runtime behavior Why Recipes? Ellora provides methodologies, not frameworks. Use them with your existing tools (PEFT, LoRAX, vLLM, Unsloth, HuggingFace). Each recipe uses self-supervised data generation (Magpie approach) - no expensive human labeling required. All recipes include Jupyter notebooks you can run immediately with clear success metrics. GitHub: https://github.com/codelion/ellora Full Article: https://huggingface.co/blog/codelion/ellora-lora-recipes Built something with these recipes? I'd love to see what you create!
updated a model about 13 hours ago
akahana/m2m100-nllb200-4bit
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