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README.md
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@@ -29,6 +29,17 @@ Fine-tuned LoRA adapters trained using [qvac-finetune](https://github.com/tether
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| [Gemma3-4B LoRA Adapter](https://huggingface.co/tetherto/qvac-gemma3-4b-lora-gguf) | 60.2 MB | [google/gemma-3-4b-gguf](https://huggingface.co/google/gemma-3-4b-gguf) |
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---
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## 🎯 Quick Start Guide
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| [Gemma3-4B LoRA Adapter](https://huggingface.co/tetherto/qvac-gemma3-4b-lora-gguf) | 60.2 MB | [google/gemma-3-4b-gguf](https://huggingface.co/google/gemma-3-4b-gguf) |
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## 🚀 Empowering the Community with Open Resources
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To accelerate development and innovation, **Tether Data** is publicly releasing:
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- **Multi‑Platform Binaries**
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👉 [qvac‑rnd‑fabric‑llm‑finetune](https://github.com/tetherto/qvac-rnd-fabric-llm-finetune)
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- **Source Code (Work‑in‑Progress)**
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👉 [qvac‑fabric‑llm.cpp (fabric‑llm‑finetune branch)](https://github.com/tetherto/qvac-fabric-llm.cpp/tree/fabric-llm-finetune)
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*Currently experimental and intended for developers to extend the solution for other LLM models.*
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---
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## 🎯 Quick Start Guide
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