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from __future__ import annotations |
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from dataclasses import dataclass |
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from .typing import Union |
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from .Provider import BaseProvider, RetryProvider |
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from .Provider import ( |
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ChatgptLogin, |
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ChatgptAi, |
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ChatBase, |
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Vercel, |
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DeepAi, |
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Aivvm, |
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Bard, |
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H2o, |
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GptGo, |
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Bing, |
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PerplexityAi, |
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Wewordle, |
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Yqcloud, |
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AItianhu, |
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AItianhuSpace, |
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Aichat, |
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Myshell, |
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Aibn, |
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ChatgptDuo, |
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) |
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@dataclass(unsafe_hash=True) |
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class Model: |
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name: str |
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base_provider: str |
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best_provider: Union[type[BaseProvider], RetryProvider] = None |
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default = Model( |
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name = "", |
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base_provider = "", |
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best_provider = RetryProvider([ |
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Bing, |
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PerplexityAi, |
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Wewordle, |
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Yqcloud, |
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ChatBase, |
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ChatgptDuo, |
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DeepAi, ChatgptLogin, ChatgptAi, Aivvm, GptGo, AItianhu, AItianhuSpace, Aichat, Myshell, Aibn, |
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]) |
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) |
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gpt_35_turbo = Model( |
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name = 'gpt-3.5-turbo', |
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base_provider = 'openai', |
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best_provider = RetryProvider([ |
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DeepAi, ChatgptLogin, ChatgptAi, Aivvm, GptGo, AItianhu, Aichat, AItianhuSpace, Myshell, Aibn, |
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]) |
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) |
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gpt_4 = Model( |
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name = 'gpt-4', |
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base_provider = 'openai', |
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best_provider = RetryProvider([ |
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Myshell, AItianhuSpace, |
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]) |
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) |
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palm = Model( |
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name = 'palm', |
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base_provider = 'google', |
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best_provider = Bard) |
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falcon_7b = Model( |
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name = 'h2oai/h2ogpt-gm-oasst1-en-2048-falcon-7b-v3', |
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base_provider = 'huggingface', |
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best_provider = H2o) |
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falcon_40b = Model( |
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name = 'h2oai/h2ogpt-gm-oasst1-en-2048-falcon-40b-v1', |
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base_provider = 'huggingface', |
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best_provider = H2o) |
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llama_13b = Model( |
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name = 'h2oai/h2ogpt-gm-oasst1-en-2048-open-llama-13b', |
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base_provider = 'huggingface', |
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best_provider = H2o) |
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claude_instant_v1 = Model( |
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name = 'claude-instant-v1', |
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base_provider = 'anthropic', |
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best_provider = Vercel) |
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claude_v1 = Model( |
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name = 'claude-v1', |
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base_provider = 'anthropic', |
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best_provider = Vercel) |
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claude_v2 = Model( |
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name = 'claude-v2', |
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base_provider = 'anthropic', |
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best_provider = Vercel) |
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command_light_nightly = Model( |
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name = 'command-light-nightly', |
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base_provider = 'cohere', |
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best_provider = Vercel) |
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command_nightly = Model( |
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name = 'command-nightly', |
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base_provider = 'cohere', |
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best_provider = Vercel) |
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gpt_neox_20b = Model( |
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name = 'EleutherAI/gpt-neox-20b', |
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base_provider = 'huggingface', |
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best_provider = Vercel) |
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oasst_sft_1_pythia_12b = Model( |
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name = 'OpenAssistant/oasst-sft-1-pythia-12b', |
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base_provider = 'huggingface', |
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best_provider = Vercel) |
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oasst_sft_4_pythia_12b_epoch_35 = Model( |
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name = 'OpenAssistant/oasst-sft-4-pythia-12b-epoch-3.5', |
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base_provider = 'huggingface', |
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best_provider = Vercel) |
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santacoder = Model( |
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name = 'bigcode/santacoder', |
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base_provider = 'huggingface', |
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best_provider = Vercel) |
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bloom = Model( |
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name = 'bigscience/bloom', |
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base_provider = 'huggingface', |
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best_provider = Vercel) |
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flan_t5_xxl = Model( |
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name = 'google/flan-t5-xxl', |
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base_provider = 'huggingface', |
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best_provider = Vercel) |
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code_davinci_002 = Model( |
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name = 'code-davinci-002', |
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base_provider = 'openai', |
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best_provider = Vercel) |
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gpt_35_turbo_16k = Model( |
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name = 'gpt-3.5-turbo-16k', |
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base_provider = 'openai', |
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best_provider = Vercel) |
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gpt_35_turbo_16k_0613 = Model( |
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name = 'gpt-3.5-turbo-16k-0613', |
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base_provider = 'openai') |
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gpt_35_turbo_0613 = Model( |
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name = 'gpt-3.5-turbo-0613', |
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base_provider = 'openai', |
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best_provider = RetryProvider([ |
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Aivvm, ChatgptLogin |
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]) |
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) |
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gpt_4_0613 = Model( |
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name = 'gpt-4-0613', |
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base_provider = 'openai', |
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best_provider = Vercel) |
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text_ada_001 = Model( |
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name = 'text-ada-001', |
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base_provider = 'openai', |
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best_provider = Vercel) |
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text_babbage_001 = Model( |
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name = 'text-babbage-001', |
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base_provider = 'openai', |
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best_provider = Vercel) |
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text_curie_001 = Model( |
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name = 'text-curie-001', |
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base_provider = 'openai', |
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best_provider = Vercel) |
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text_davinci_002 = Model( |
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name = 'text-davinci-002', |
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base_provider = 'openai', |
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best_provider = Vercel) |
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text_davinci_003 = Model( |
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name = 'text-davinci-003', |
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base_provider = 'openai', |
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best_provider = Vercel) |
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llama13b_v2_chat = Model( |
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name = 'replicate:a16z-infra/llama13b-v2-chat', |
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base_provider = 'replicate', |
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best_provider = Vercel) |
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llama7b_v2_chat = Model( |
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name = 'replicate:a16z-infra/llama7b-v2-chat', |
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base_provider = 'replicate', |
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best_provider = Vercel) |
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class ModelUtils: |
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convert: dict[str, Model] = { |
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'gpt-3.5-turbo' : gpt_35_turbo, |
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'gpt-3.5-turbo-16k' : gpt_35_turbo_16k, |
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'gpt-4' : gpt_4, |
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'gpt-4-0613' : gpt_4_0613, |
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'gpt-3.5-turbo-16k-0613' : gpt_35_turbo_16k_0613, |
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'palm2' : palm, |
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'palm' : palm, |
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'google' : palm, |
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'google-bard' : palm, |
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'google-palm' : palm, |
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'bard' : palm, |
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'falcon-40b' : falcon_40b, |
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'falcon-7b' : falcon_7b, |
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'llama-13b' : llama_13b, |
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'claude-instant-v1' : claude_instant_v1, |
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'claude-v1' : claude_v1, |
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'claude-v2' : claude_v2, |
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'command-nightly' : command_nightly, |
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'gpt-neox-20b' : gpt_neox_20b, |
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'santacoder' : santacoder, |
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'bloom' : bloom, |
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'flan-t5-xxl' : flan_t5_xxl, |
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'code-davinci-002' : code_davinci_002, |
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'text-ada-001' : text_ada_001, |
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'text-babbage-001' : text_babbage_001, |
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'text-curie-001' : text_curie_001, |
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'text-davinci-002' : text_davinci_002, |
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'text-davinci-003' : text_davinci_003, |
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'llama13b-v2-chat' : llama13b_v2_chat, |
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'llama7b-v2-chat' : llama7b_v2_chat, |
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'oasst-sft-1-pythia-12b' : oasst_sft_1_pythia_12b, |
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'oasst-sft-4-pythia-12b-epoch-3.5' : oasst_sft_4_pythia_12b_epoch_35, |
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'command-light-nightly' : command_light_nightly, |
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} |
