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docs: update table for latest models
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README.md

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@@ -47,7 +47,8 @@ higher the ELO rating the better the model.
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| Target | Model | Parameters | Size | [~Score](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) | [~ELO](https://chat.lmsys.org/?leaderboard) | Notes |
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| --- | --- | --- | --- | --- | --- | --- |
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| gemma-2-9b | [`gemma-2-9b-it`](https://huggingface.co/bartowski/gemma-2-9b-it-GGUF) | 9B | 6.65 GB | 28.90 | 1187 | Google's best small model |
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| ministral-8b | [`ministral-8b-instruct-2410`](https://huggingface.co/bartowski/Ministral-8B-Instruct-2410-GGUF) | 8B | 5.72 GB | 22.01 | 1182 | Mistral AI's best small model |
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| llama-3-8b | [`meta-llama-3.1-8b-instruct`](https://huggingface.co/bartowski/Meta-Llama-3.1-8B-Instruct-GGUF) | 8B | 5.73 GB | 26.59 | 1162 | The overall best small model |
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| phi-3.5-mini | [`phi-3.5-mini-instruct`](https://huggingface.co/bartowski/Phi-3.5-mini-instruct-GGUF) | 3B | 3.14 GB | 27.57 | 1071 | Microsoft's best tiny model |
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| deepseek-r1-qwen-14b | [`deepseek-r1-distill-qwen-14b`](https://huggingface.co/bartowski/DeepSeek-R1-Distill-Qwen-14B-GGUF) | 14B | 10.5 GB | 38.22 | 1360 | The best small thinking model |
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| gemma-3-27b | [`gemma-3-27b-it`](https://huggingface.co/bartowski/google_gemma-3-27b-it-GGUF) | 27B | 19.27 GB | 36.17+ | 1339 | Google's best medium model |
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| mistral-small-3 | [`mistral-small-3.1-24b-instruct`](https://huggingface.co/bartowski/mistralai_Mistral-Small-3.1-24B-Instruct-2503-GGUF) | 24B | 16.76 GB | 29.92+ | 1214 | Mistral AI's best small model |
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| llama-3-8b | [`meta-llama-3.1-8b-instruct`](https://huggingface.co/bartowski/Meta-Llama-3.1-8B-Instruct-GGUF) | 8B | 5.73 GB | 23.76 | 1176 | Meta's best small model |
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| phi-4-mini | [`phi-4-mini-instruct`](https://huggingface.co/bartowski/microsoft_Phi-4-mini-instruct-GGUF) | 4B | 2.85 GB | 29.41 | 1070++ | Microsoft's best tiny model |

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