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leukas
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cute_results

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train · 16 rows

model stringlengths 54 96	spell float64 0.76 1	spell_inverse float64 0.55 1	cont_char float64 0.24 0.9	cont_word float64 0.52 1	orth float64 0.42 0.91	sem float64 0.27 0.93	ins_char float64 0.05 0.19	del_char float64 0.13 0.83	sub_char float64 0.03 0.64	swap_char float64 0.02 0.16	ins_word float64 0.11 0.97	del_word float64 0.35 0.98	sub_word float64 0.31 0.98	swap_word float64 0.04 0.98
[meta-llama/Llama-2-7b-chat-hf](https://hf.co/meta-llama/Llama-2-7b-chat-hf)	0.955	0.846	0.67	0.782	0.417	0.76	0.091	0.13	0.111	0.035	0.201	0.348	0.729	0.109
[meta-llama/Llama-2-13b-chat-hf](https://hf.co/meta-llama/Llama-2-13b-chat-hf)	0.996	0.929	0.698	0.848	0.463	0.763	0.115	0.305	0.142	0.025	0.367	0.487	0.707	0.219
[meta-llama/Llama-2-70b-chat-hf](https://hf.co/meta-llama/Llama-2-70b-chat-hf)	0.999	0.927	0.701	0.946	0.426	0.826	0.073	0.264	0.196	0.056	0.316	0.468	0.866	0.369
[mistralai/Mistral-7B-Instruct-v0.2](https://hf.co/mistralai/Mistral-7B-Instruct-v0.2)	0.87	0.911	0.615	0.942	0.553	0.847	0.048	0.342	0.21	0.028	0.113	0.538	0.7	0.159
[mistralai/Mistral-8x7B-Instruct-v0.1](https://hf.co/mistralai/Mistral-8x7B-Instruct-v0.1)	0.984	0.957	0.681	0.908	0.508	0.818	0.159	0.478	0.346	0.064	0.408	0.565	0.907	0.378
[google/gemma-7b-it](https://hf.co/google/gemma-7b-it)	0.822	0.73	0.64	0.848	0.545	0.82	0.107	0.304	0.151	0.025	0.365	0.567	0.707	0.172
[CohereForAI/aya-23-8B](https://hf.co/CohereForAI/aya-23-8B)	0.952	0.916	0.56	0.776	0.516	0.265	0.065	0.275	0.151	0.035	0.133	0.675	0.586	0.146
[CohereForAI/aya-23-35B](https://hf.co/CohereForAI/aya-23-35B)	0.996	0.986	0.236	0.993	0.494	0.926	0.11	0.45	0.306	0.036	0.599	0.71	0.85	0.411
[CohereForAI/c4ai-command-r-v01](https://hf.co/CohereForAI/c4ai-command-r-v01)	0.989	0.978	0.689	0.874	0.434	0.817	0.073	0.377	0.287	0.053	0.422	0.558	0.758	0.283
[CohereForAI/c4ai-command-r-plus](https://hf.co/CohereForAI/c4ai-command-r-plus)	1	1	0.797	0.997	0.865	0.926	0.089	0.72	0.555	0.1	0.817	0.657	0.951	0.814
[databricks/dbrx-instruct](https://hf.co/databricks/dbrx-instruct)	0.999	0.999	0.478	0.972	0.476	0.903	0.099	0.64	0.477	0.075	0.532	0.863	0.936	0.603
[meta-llama/Meta-Llama-3-8B-Instruct](https://hf.co/meta-llama/Meta-Llama-3-8B-Instruct)	0.994	0.982	0.657	0.795	0.775	0.817	0.072	0.572	0.328	0.046	0.655	0.798	0.895	0.619
[meta-llama/Meta-Llama-3-70B-Instruct](https://hf.co/meta-llama/Meta-Llama-3-70B-Instruct)	1	0.998	0.731	0.993	0.914	0.885	0.089	0.74	0.537	0.131	0.778	0.933	0.969	0.83
[meta-llama/Meta-Llama-3.1-405B-Instruct](https://hf.co/meta-llama/Meta-Llama-3.1-405B-Instruct)	1	1	0.901	0.998	0.89	0.929	0.191	0.831	0.638	0.164	0.974	0.975	0.978	0.981
[microsoft/Phi-3-mini-4k-instruct](https://hf.co/microsoft/Phi-3-mini-4k-instruct)	0.76	0.691	0.675	0.858	0.488	0.834	0.077	0.325	0.166	0.052	0.55	0.781	0.813	0.188
[meta-llama/Llama-3.2-1B-Instruct](https://hf.co/meta-llama/Llama-3.2-1B-Instruct)	0.847	0.552	0.591	0.518	0.456	0.666	0.088	0.179	0.031	0.018	0.199	0.374	0.305	0.043

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