39 lines
1.3 KiB
JSON
39 lines
1.3 KiB
JSON
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{
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"text-davinci-003": "p50k_base",
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"text-davinci-002": "p50k_base",
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"text-davinci-001": "r50k_base",
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"text-curie-001": "r50k_base",
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"text-babbage-001": "r50k_base",
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"text-ada-001": "r50k_base",
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"davinci": "r50k_base",
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"curie": "r50k_base",
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"babbage": "r50k_base",
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"ada": "r50k_base",
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"code-davinci-002": "p50k_base",
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"code-davinci-001": "p50k_base",
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"code-cushman-002": "p50k_base",
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"code-cushman-001": "p50k_base",
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"davinci-codex": "p50k_base",
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"cushman-codex": "p50k_base",
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"text-davinci-edit-001": "p50k_edit",
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"code-davinci-edit-001": "p50k_edit",
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"text-embedding-ada-002": "cl100k_base",
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"text-similarity-davinci-001": "r50k_base",
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"text-similarity-curie-001": "r50k_base",
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"text-similarity-babbage-001": "r50k_base",
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"text-similarity-ada-001": "r50k_base",
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"text-search-davinci-doc-001": "r50k_base",
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"text-search-curie-doc-001": "r50k_base",
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"text-search-babbage-doc-001": "r50k_base",
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"text-search-ada-doc-001": "r50k_base",
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"code-search-babbage-code-001": "r50k_base",
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"code-search-ada-code-001": "r50k_base",
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"gpt2": "gpt2",
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"gpt-3.5-turbo": "cl100k_base",
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"gpt-3.5-turbo-0301": "cl100k_base",
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"gpt-4": "cl100k_base",
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"gpt-4-0314": "cl100k_base",
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"gpt-4-32k": "cl100k_base",
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"gpt-4-32k-0314": "cl100k_base"
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}
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