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Update README.md

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@@ -24,7 +24,7 @@ Spaetzle-v60-7b is a merge of the following models
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  The performance looks ok so far: e.g. we get (for the GGUF q4) in EQ-Bench: Score (v2_de): 65.08 (Parseable: 171.0).
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- From [https://huggingface.co/spaces/Intel/low_bit_open_llm_leaderboard](Low-bit Quantized Open LLM Leaderboard)
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  | Type | Model | Average ⬆️ | ARC-c | ARC-e | Boolq | HellaSwag | Lambada | MMLU | Openbookqa | Piqa | Truthfulqa | Winogrande | #Params (B) | #Size (G) |
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  |------|-------------------------------------------|------------|-------|-------|-------|-----------|---------|-------|------------|-------|------------|------------|-------------|-----------|
 
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  The performance looks ok so far: e.g. we get (for the GGUF q4) in EQ-Bench: Score (v2_de): 65.08 (Parseable: 171.0).
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+ From [Low-bit Quantized Open LLM Leaderboard](https://huggingface.co/spaces/Intel/low_bit_open_llm_leaderboard)
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  | Type | Model | Average ⬆️ | ARC-c | ARC-e | Boolq | HellaSwag | Lambada | MMLU | Openbookqa | Piqa | Truthfulqa | Winogrande | #Params (B) | #Size (G) |
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  |------|-------------------------------------------|------------|-------|-------|-------|-----------|---------|-------|------------|-------|------------|------------|-------------|-----------|