Remove legacy NovelAI presets
This commit is contained in:
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853736fa93
commit
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{
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"order": [3, 2, 1, 0],
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"temperature": 1.15,
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"max_length": 60,
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"min_length": 60,
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"top_k": 0,
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"top_p": 0.95,
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"top_a": 1,
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"typical_p": 1,
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"tail_free_sampling": 0.8,
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"repetition_penalty": 2.75,
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"repetition_penalty_range": 2048,
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"repetition_penalty_slope": 7.02,
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"repetition_penalty_frequency": 0,
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"repetition_penalty_presence": 0,
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"max_context": 2048
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}
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{
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"order": [1, 0, 3],
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"temperature": 1.33,
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"max_length": 60,
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"min_length": 60,
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"top_k": 13,
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"top_p": 1,
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"top_a": 1,
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"typical_p": 1,
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"tail_free_sampling": 0.836,
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"repetition_penalty": 2.366,
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"repetition_penalty_range": 400,
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"repetition_penalty_slope": 0.33,
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"repetition_penalty_frequency": 0.01,
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"repetition_penalty_presence": 0,
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"max_context": 2048
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}
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{
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"order": [0, 1, 2, 3],
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"temperature": 0.585,
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"max_length": 60,
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"min_length": 60,
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"top_k": 0,
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"top_p": 1,
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"top_a": 1,
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"typical_p": 1,
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"tail_free_sampling": 0.87,
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"repetition_penalty": 3.05,
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"repetition_penalty_range": 2048,
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"repetition_penalty_slope": 0.33,
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"repetition_penalty_frequency": 0,
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"repetition_penalty_presence": 0,
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"max_context": 2048
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}
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{
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"order": [2, 1, 3, 0],
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"temperature": 0.63,
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"max_length": 90,
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"min_length": 1,
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"tail_free_sampling": 0.975,
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"repetition_penalty": 1.148125,
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"repetition_penalty_range": 2048,
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"repetition_penalty_frequency": 0,
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"repetition_penalty_presence": 0,
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"repetition_penalty_slope": 0.09,
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"max_context":2048,
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"top_p": 0.975,
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"top_k": 0,
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"top_a": 1,
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"typical_p": 1
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}
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{
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"order": [3, 4, 5, 2, 0],
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"temperature": 1.33,
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"max_length": 90,
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"min_length": 1,
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"tail_free_sampling": 0.937,
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"repetition_penalty": 1.05,
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"repetition_penalty_range": 560,
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"repetition_penalty_frequency": 0,
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"repetition_penalty_presence": 0,
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"repetition_penalty_slope": 0.18,
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"max_context": 2048,
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"top_p": 0.88,
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"top_k": 0,
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"top_a": 0.085,
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"typical_p": 0.985
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}
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{
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"order": [2, 1, 3, 0],
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"temperature": 0.86,
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"max_length": 60,
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"min_length": 60,
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"top_k": 20,
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"top_p": 0.95,
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"top_a": 1,
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"typical_p": 1,
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"tail_free_sampling": 1,
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"repetition_penalty": 2.25,
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"repetition_penalty_range": 2048,
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"repetition_penalty_slope": 0.09,
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"repetition_penalty_frequency": 0,
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"repetition_penalty_presence": 0,
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"max_context": 2048
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}
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{
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"order": [2, 1, 3, 0],
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"temperature": 0.63,
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"max_length": 60,
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"min_length": 60,
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"top_k": 0,
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"top_p": 0.975,
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"top_a": 1,
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"typical_p": 1,
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"tail_free_sampling": 0.975,
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"repetition_penalty": 2.975,
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"repetition_penalty_range": 2048,
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"repetition_penalty_slope": 0.09,
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"repetition_penalty_frequency": 0,
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"repetition_penalty_presence": 0,
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"max_context":2048
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}
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{
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"order": [2, 1, 3, 0],
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"temperature": 0.94,
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"max_length": 60,
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"min_length": 60,
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"top_k": 12,
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"top_p": 1,
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"top_a": 1,
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"typical_p": 1,
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"tail_free_sampling": 0.94,
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"repetition_penalty": 2.66,
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"repetition_penalty_range": 2048,
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"repetition_penalty_slope": 0.18,
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"repetition_penalty_frequency": 0.013,
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"repetition_penalty_presence": 0,
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"max_context": 2048
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}
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{
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"order": [1, 5, 4, 3, 0],
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"temperature": 1.25,
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"max_length": 60,
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"min_length": 60,
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"top_k": 300,
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"top_p": 1,
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"top_a": 0.782,
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"typical_p": 0.95,
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"tail_free_sampling": 0.802,
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"repetition_penalty": 2.075,
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"repetition_penalty_range": 512,
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"repetition_penalty_slope": 0.36,
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"repetition_penalty_frequency": 0,
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"repetition_penalty_presence": 0,
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"max_context": 2048
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}
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{
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"order": [0],
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"temperature": 0.6889,
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"max_length": 60,
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"min_length": 60,
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"top_k": 0,
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"top_p": 1,
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"top_a": 1,
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"typical_p": 1,
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"tail_free_sampling": 1,
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"repetition_penalty": 1,
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"repetition_penalty_range": 2048,
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"repetition_penalty_slope": 0,
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"repetition_penalty_frequency": 0.1,
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"repetition_penalty_presence": 0,
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"max_context": 2048
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}
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{
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"order": [1, 0, 3],
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"temperature": 1.07,
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"max_length": 60,
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"min_length": 60,
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"top_k": 264,
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"top_p": 1,
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"top_a": 1,
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"typical_p": 1,
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"tail_free_sampling": 0.925,
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"repetition_penalty": 2.165,
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"repetition_penalty_range": 404,
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"repetition_penalty_slope": 0.84,
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"repetition_penalty_frequency": 0,
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"repetition_penalty_presence": 0,
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"max_context":2048
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}
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{
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"order": [3, 0],
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"temperature": 1.348,
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"max_length": 60,
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"min_length": 60,
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"top_k": 64,
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"top_p": 0.909,
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"top_a": 1,
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"typical_p": 1,
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"tail_free_sampling": 0.688,
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"repetition_penalty": 4.967,
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"repetition_penalty_range": 2048,
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"repetition_penalty_slope": 0.09,
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"repetition_penalty_frequency": 0,
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"repetition_penalty_presence": 0,
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"max_context": 2048
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}
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