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6.61 kB
| from __future__ import annotations | |
| from dataclasses import dataclass | |
| from .typing import Union | |
| from .Provider import BaseProvider, RetryProvider | |
| from .Provider import ( | |
| ChatgptLogin, | |
| ChatgptAi, | |
| ChatBase, | |
| Vercel, | |
| DeepAi, | |
| Aivvm, | |
| Bard, | |
| H2o, | |
| GptGo, | |
| Bing, | |
| PerplexityAi, | |
| Wewordle, | |
| Yqcloud, | |
| AItianhu, | |
| Aichat, | |
| ) | |
| class Model: | |
| name: str | |
| base_provider: str | |
| best_provider: Union[type[BaseProvider], RetryProvider] = None | |
| # Config for HuggingChat, OpenAssistant | |
| # Works for Liaobots, H2o, OpenaiChat, Yqcloud, You | |
| default = Model( | |
| name = "", | |
| base_provider = "", | |
| best_provider = RetryProvider([ | |
| Bing, # Not fully GPT 3 or 4 | |
| PerplexityAi, # Adds references to sources | |
| Wewordle, # Responds with markdown | |
| Yqcloud, # Answers short questions in chinese | |
| ChatBase, # Don't want to answer creatively | |
| DeepAi, ChatgptLogin, ChatgptAi, Aivvm, GptGo, AItianhu, Aichat, | |
| ]) | |
| ) | |
| # GPT-3.5 / GPT-4 | |
| gpt_35_turbo = Model( | |
| name = 'gpt-3.5-turbo', | |
| base_provider = 'openai', | |
| best_provider = RetryProvider([ | |
| DeepAi, ChatgptLogin, ChatgptAi, Aivvm, GptGo, AItianhu, Aichat, | |
| ]) | |
| ) | |
| gpt_4 = Model( | |
| name = 'gpt-4', | |
| base_provider = 'openai', | |
| best_provider = RetryProvider([ | |
| Aivvm | |
| ]) | |
| ) | |
| # Bard | |
| palm = Model( | |
| name = 'palm', | |
| base_provider = 'google', | |
| best_provider = Bard) | |
| # H2o | |
| falcon_7b = Model( | |
| name = 'h2oai/h2ogpt-gm-oasst1-en-2048-falcon-7b-v3', | |
| base_provider = 'huggingface', | |
| best_provider = H2o) | |
| falcon_40b = Model( | |
| name = 'h2oai/h2ogpt-gm-oasst1-en-2048-falcon-40b-v1', | |
| base_provider = 'huggingface', | |
| best_provider = H2o) | |
| llama_13b = Model( | |
| name = 'h2oai/h2ogpt-gm-oasst1-en-2048-open-llama-13b', | |
| base_provider = 'huggingface', | |
| best_provider = H2o) | |
| # Vercel | |
| claude_instant_v1 = Model( | |
| name = 'claude-instant-v1', | |
| base_provider = 'anthropic', | |
| best_provider = Vercel) | |
| claude_v1 = Model( | |
| name = 'claude-v1', | |
| base_provider = 'anthropic', | |
| best_provider = Vercel) | |
| claude_v2 = Model( | |
| name = 'claude-v2', | |
| base_provider = 'anthropic', | |
| best_provider = Vercel) | |
| command_light_nightly = Model( | |
| name = 'command-light-nightly', | |
| base_provider = 'cohere', | |
| best_provider = Vercel) | |
| command_nightly = Model( | |
| name = 'command-nightly', | |
| base_provider = 'cohere', | |
| best_provider = Vercel) | |
| gpt_neox_20b = Model( | |
| name = 'EleutherAI/gpt-neox-20b', | |
| base_provider = 'huggingface', | |
| best_provider = Vercel) | |
| oasst_sft_1_pythia_12b = Model( | |
| name = 'OpenAssistant/oasst-sft-1-pythia-12b', | |
| base_provider = 'huggingface', | |
| best_provider = Vercel) | |
| oasst_sft_4_pythia_12b_epoch_35 = Model( | |
| name = 'OpenAssistant/oasst-sft-4-pythia-12b-epoch-3.5', | |
| base_provider = 'huggingface', | |
| best_provider = Vercel) | |
| santacoder = Model( | |
| name = 'bigcode/santacoder', | |
| base_provider = 'huggingface', | |
| best_provider = Vercel) | |
| bloom = Model( | |
| name = 'bigscience/bloom', | |
| base_provider = 'huggingface', | |
| best_provider = Vercel) | |
| flan_t5_xxl = Model( | |
| name = 'google/flan-t5-xxl', | |
| base_provider = 'huggingface', | |
| best_provider = Vercel) | |
| code_davinci_002 = Model( | |
| name = 'code-davinci-002', | |
| base_provider = 'openai', | |
| best_provider = Vercel) | |
| gpt_35_turbo_16k = Model( | |
| name = 'gpt-3.5-turbo-16k', | |
| base_provider = 'openai', | |
| best_provider = Vercel) | |
| gpt_35_turbo_16k_0613 = Model( | |
| name = 'gpt-3.5-turbo-16k-0613', | |
| base_provider = 'openai') | |
| gpt_35_turbo_0613 = Model( | |
| name = 'gpt-3.5-turbo-0613', | |
| base_provider = 'openai', | |
| best_provider = [ | |
| Aivvm, ChatgptLogin]) | |
| gpt_4_0613 = Model( | |
| name = 'gpt-4-0613', | |
| base_provider = 'openai', | |
| best_provider = Vercel) | |
| text_ada_001 = Model( | |
| name = 'text-ada-001', | |
| base_provider = 'openai', | |
| best_provider = Vercel) | |
| text_babbage_001 = Model( | |
| name = 'text-babbage-001', | |
| base_provider = 'openai', | |
| best_provider = Vercel) | |
| text_curie_001 = Model( | |
| name = 'text-curie-001', | |
| base_provider = 'openai', | |
| best_provider = Vercel) | |
| text_davinci_002 = Model( | |
| name = 'text-davinci-002', | |
| base_provider = 'openai', | |
| best_provider = Vercel) | |
| text_davinci_003 = Model( | |
| name = 'text-davinci-003', | |
| base_provider = 'openai', | |
| best_provider = Vercel) | |
| llama13b_v2_chat = Model( | |
| name = 'replicate:a16z-infra/llama13b-v2-chat', | |
| base_provider = 'replicate', | |
| best_provider = Vercel) | |
| llama7b_v2_chat = Model( | |
| name = 'replicate:a16z-infra/llama7b-v2-chat', | |
| base_provider = 'replicate', | |
| best_provider = Vercel) | |
| class ModelUtils: | |
| convert: dict[str, Model] = { | |
| # gpt-3.5 / gpt-4 | |
| 'gpt-3.5-turbo' : gpt_35_turbo, | |
| 'gpt-3.5-turbo-16k' : gpt_35_turbo_16k, | |
| 'gpt-4' : gpt_4, | |
| 'gpt-4-0613' : gpt_4_0613, | |
| 'gpt-3.5-turbo-16k-0613' : gpt_35_turbo_16k_0613, | |
| # Bard | |
| 'palm2' : palm, | |
| 'palm' : palm, | |
| 'google' : palm, | |
| 'google-bard' : palm, | |
| 'google-palm' : palm, | |
| 'bard' : palm, | |
| # H2o | |
| 'falcon-40b' : falcon_40b, | |
| 'falcon-7b' : falcon_7b, | |
| 'llama-13b' : llama_13b, | |
| # Vercel | |
| 'claude-instant-v1' : claude_instant_v1, | |
| 'claude-v1' : claude_v1, | |
| 'claude-v2' : claude_v2, | |
| 'command-nightly' : command_nightly, | |
| 'gpt-neox-20b' : gpt_neox_20b, | |
| 'santacoder' : santacoder, | |
| 'bloom' : bloom, | |
| 'flan-t5-xxl' : flan_t5_xxl, | |
| 'code-davinci-002' : code_davinci_002, | |
| 'text-ada-001' : text_ada_001, | |
| 'text-babbage-001' : text_babbage_001, | |
| 'text-curie-001' : text_curie_001, | |
| 'text-davinci-002' : text_davinci_002, | |
| 'text-davinci-003' : text_davinci_003, | |
| 'llama13b-v2-chat' : llama13b_v2_chat, | |
| 'llama7b-v2-chat' : llama7b_v2_chat, | |
| 'oasst-sft-1-pythia-12b' : oasst_sft_1_pythia_12b, | |
| 'oasst-sft-4-pythia-12b-epoch-3.5' : oasst_sft_4_pythia_12b_epoch_35, | |
| 'command-light-nightly' : command_light_nightly, | |
| } |