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Update README.md

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@@ -94,7 +94,7 @@ Most quantizations use **256 calibration samples**. We use **2048+ diverse sampl
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  | Model | Params | Size | vs FP16 | vs FP8 | VRAM | Status |
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  |-------|--------|------|---------|--------|------|--------|
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  | [granite-34b-code-instruct-8k-Ultra-Hybrid](https://huggingface.co/TevunahAi/granite-34b-code-instruct-8k-Ultra-Hybrid) | 34B | 21.8GB | -68% | -37% | 20.4GB | ✅ Verified |
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- | [Llama-3.1-70B-Instruct-Ultra-Hybrid] (https://huggingface.co/TevunahAi/Llama-3.1-70B-Instruct-Ultra-Hybrid) | 70B | 45.4GB | -68% | -37% | 48GB | ✅ Verified |
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  | Model | Params | Size | vs FP16 | vs FP8 | VRAM | Status |
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  |-------|--------|------|---------|--------|------|--------|
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  | [granite-34b-code-instruct-8k-Ultra-Hybrid](https://huggingface.co/TevunahAi/granite-34b-code-instruct-8k-Ultra-Hybrid) | 34B | 21.8GB | -68% | -37% | 20.4GB | ✅ Verified |
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+ | [Llama-3.1-70B-Instruct-Ultra-Hybrid](https://huggingface.co/TevunahAi/Llama-3.1-70B-Instruct-Ultra-Hybrid) | 70B | 45.4GB | -68% | -37% | 48GB | ✅ Verified |
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