cute_results / results.csv
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Add llama 3.2-1B
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model,spell,spell_inverse,cont_char,cont_word,orth,sem,ins_char,del_char,sub_char,swap_char,ins_word,del_word,sub_word,swap_word
[meta-llama/Llama-2-7b-chat-hf](https://hf.co/meta-llama/Llama-2-7b-chat-hf),0.955,0.846,0.670,0.782,0.417,0.760,0.091,0.130,0.111,0.035,0.201,0.348,0.729,0.109
[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),0.870,0.911,0.615,0.942,0.553,0.847,0.048,0.342,0.210,0.028,0.113,0.538,0.700,0.159
[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),0.822,0.730,0.640,0.848,0.545,0.820,0.107,0.304,0.151,0.025,0.365,0.567,0.707,0.172
[CohereForAI/aya-23-8B](https://hf.co/CohereForAI/aya-23-8B),0.952,0.916,0.560,0.776,0.516,0.265,0.065,0.275,0.151,0.035,0.133,0.675,0.586,0.146
[CohereForAI/aya-23-35B](https://hf.co/CohereForAI/aya-23-35B),0.996,0.986,0.236,0.993,0.494,0.926,0.110,0.45,0.306,0.036,0.599,0.710,0.85,0.411
[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),1.000,1.000,0.797,0.997,0.865,0.926,0.089,0.720,0.555,0.100,0.817,0.657,0.951,0.814
[databricks/dbrx-instruct](https://hf.co/databricks/dbrx-instruct),0.999,0.999,0.478,0.972,0.476,0.903,0.099,0.640,0.477,0.075,0.532,0.863,0.936,0.603
[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),1.000,0.998,0.731,0.993,0.914,0.885,0.089,0.740,0.537,0.131,0.778,0.933,0.969,0.830
[meta-llama/Meta-Llama-3.1-405B-Instruct](https://hf.co/meta-llama/Meta-Llama-3.1-405B-Instruct),1.000,1.000,0.901,0.998,0.890,0.929,0.191,0.831,0.638,0.164,0.974,0.975,0.978,0.981
[microsoft/Phi-3-mini-4k-instruct](https://hf.co/microsoft/Phi-3-mini-4k-instruct),0.760,0.691,0.675,0.858,0.488,0.834,0.077,0.325,0.166,0.052,0.550,0.781,0.813,0.188
[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