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author | Tekky <98614666+xtekky@users.noreply.github.com> | 2023-08-17 14:50:35 +0200 |
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committer | GitHub <noreply@github.com> | 2023-08-17 14:50:35 +0200 |
commit | e8066c1df55c429a72e0770ee0e30a0ffc03f019 (patch) | |
tree | c8bc44917ea03909cf586140f984ff0814bc30ea /g4f/models.py | |
parent | ~ | small fixes & new pypi version | v-0.0.1.9 (diff) | |
parent | refactor: refactor provider (diff) | |
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Diffstat (limited to '')
-rw-r--r-- | g4f/models.py | 260 |
1 files changed, 121 insertions, 139 deletions
diff --git a/g4f/models.py b/g4f/models.py index 27336244..40d21f2a 100644 --- a/g4f/models.py +++ b/g4f/models.py @@ -1,243 +1,225 @@ -from types import ModuleType -from . import Provider from dataclasses import dataclass +from .provider import Bard, BaseProvider, GetGpt, H2o, Liaobots, Vercel + @dataclass class Model: name: str base_provider: str - best_provider: ModuleType or None + best_provider: type[BaseProvider] + +# GPT-3.5 / GPT-4 gpt_35_turbo = Model( name="gpt-3.5-turbo", base_provider="openai", - best_provider=Provider.GetGpt, + best_provider=GetGpt, ) gpt_4 = Model( name="gpt-4", base_provider="openai", - best_provider=Provider.Bing, + best_provider=Liaobots, ) -claude_instant_v1_100k = Model( - name="claude-instant-v1-100k", - base_provider="anthropic", - best_provider=Provider.Vercel, +# Bard +palm = Model( + name="palm", + base_provider="google", + best_provider=Bard, ) -claude_instant_v1 = Model( - name="claude-instant-v1", - base_provider="anthropic", - best_provider=Provider.Vercel, +# H2o +falcon_7b = Model( + name="h2oai/h2ogpt-gm-oasst1-en-2048-falcon-7b-v3", + base_provider="huggingface", + best_provider=H2o, ) -claude_v1_100k = Model( - name="claude-v1-100k", +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="anthropic:claude-instant-v1", base_provider="anthropic", - best_provider=Provider.Vercel, + best_provider=Vercel, ) claude_v1 = Model( - name="claude-v1", + name="anthropic:claude-v1", base_provider="anthropic", - best_provider=Provider.Vercel, + best_provider=Vercel, ) -alpaca_7b = Model( - name="alpaca-7b", - base_provider="replicate", - best_provider=Provider.Vercel, +claude_v2 = Model( + name="anthropic:claude-v2", + base_provider="anthropic", + best_provider=Vercel, ) -stablelm_tuned_alpha_7b = Model( - name="stablelm-tuned-alpha-7b", - base_provider="replicate", - best_provider=Provider.Vercel, +command_light_nightly = Model( + name="cohere:command-light-nightly", + base_provider="cohere", + best_provider=Vercel, ) -bloom = Model( - name="bloom", - base_provider="huggingface", - best_provider=Provider.Vercel, +command_nightly = Model( + name="cohere:command-nightly", + base_provider="cohere", + best_provider=Vercel, ) -bloomz = Model( - name="bloomz", +gpt_neox_20b = Model( + name="huggingface:EleutherAI/gpt-neox-20b", base_provider="huggingface", - best_provider=Provider.Vercel, + best_provider=Vercel, ) -flan_t5_xxl = Model( - name="flan-t5-xxl", +oasst_sft_1_pythia_12b = Model( + name="huggingface:OpenAssistant/oasst-sft-1-pythia-12b", base_provider="huggingface", - best_provider=Provider.Vercel, + best_provider=Vercel, ) -flan_ul2 = Model( - name="flan-ul2", +oasst_sft_4_pythia_12b_epoch_35 = Model( + name="huggingface:OpenAssistant/oasst-sft-4-pythia-12b-epoch-3.5", base_provider="huggingface", - best_provider=Provider.Vercel, + best_provider=Vercel, ) -gpt_neox_20b = Model( - name="gpt-neox-20b", +santacoder = Model( + name="huggingface:bigcode/santacoder", base_provider="huggingface", - best_provider=Provider.Vercel, + best_provider=Vercel, ) -oasst_sft_4_pythia_12b_epoch_35 = Model( - name="oasst-sft-4-pythia-12b-epoch-3.5", +bloom = Model( + name="huggingface:bigscience/bloom", base_provider="huggingface", - best_provider=Provider.Vercel, + best_provider=Vercel, ) -santacoder = Model( - name="santacoder", +flan_t5_xxl = Model( + name="huggingface:google/flan-t5-xxl", base_provider="huggingface", - best_provider=Provider.Vercel, + best_provider=Vercel, ) -command_medium_nightly = Model( - name="command-medium-nightly", - base_provider="cohere", - best_provider=Provider.Vercel, +code_davinci_002 = Model( + name="openai:code-davinci-002", + base_provider="openai", + best_provider=Vercel, ) -command_xlarge_nightly = Model( - name="command-xlarge-nightly", - base_provider="cohere", - best_provider=Provider.Vercel, +gpt_35_turbo_16k = Model( + name="openai:gpt-3.5-turbo-16k", + base_provider="openai", + best_provider=Vercel, ) -code_cushman_001 = Model( - name="code-cushman-001", +gpt_35_turbo_16k_0613 = Model( + name="openai:gpt-3.5-turbo-16k-0613", base_provider="openai", - best_provider=Provider.Vercel, + best_provider=Vercel, ) -code_davinci_002 = Model( - name="code-davinci-002", +gpt_4_0613 = Model( + name="openai:gpt-4-0613", base_provider="openai", - best_provider=Provider.Vercel, + best_provider=Vercel, ) text_ada_001 = Model( - name="text-ada-001", + name="openai:text-ada-001", base_provider="openai", - best_provider=Provider.Vercel, + best_provider=Vercel, ) text_babbage_001 = Model( - name="text-babbage-001", + name="openai:text-babbage-001", base_provider="openai", - best_provider=Provider.Vercel, + best_provider=Vercel, ) text_curie_001 = Model( - name="text-curie-001", + name="openai:text-curie-001", base_provider="openai", - best_provider=Provider.Vercel, + best_provider=Vercel, ) text_davinci_002 = Model( - name="text-davinci-002", + name="openai:text-davinci-002", base_provider="openai", - best_provider=Provider.Vercel, + best_provider=Vercel, ) text_davinci_003 = Model( - name="text-davinci-003", + name="openai:text-davinci-003", base_provider="openai", - best_provider=Provider.Vercel, -) - -palm = Model( - name="palm", - base_provider="google", - best_provider=Provider.Bard, + best_provider=Vercel, ) -falcon_40b = Model( - name="falcon-40b", - base_provider="huggingface", - best_provider=Provider.H2o, -) - -falcon_7b = Model( - name="falcon-7b", - base_provider="huggingface", - best_provider=Provider.H2o, -) - -llama_13b = Model( - name="llama-13b", - base_provider="huggingface", - best_provider=Provider.H2o, -) - -gpt_35_turbo_16k = Model( - name="gpt-3.5-turbo-16k", - base_provider="openai", - best_provider=Provider.EasyChat, -) - -gpt_35_turbo_0613 = Model( - name="gpt-3.5-turbo-0613", - base_provider="openai", - best_provider=Provider.EasyChat, +llama13b_v2_chat = Model( + name="replicate:a16z-infra/llama13b-v2-chat", + base_provider="replicate", + best_provider=Vercel, ) -gpt_35_turbo_16k_0613 = Model( - name="gpt-3.5-turbo-16k-0613", - base_provider="openai", - best_provider=Provider.EasyChat, +llama7b_v2_chat = Model( + name="replicate:a16z-infra/llama7b-v2-chat", + base_provider="replicate", + best_provider=Vercel, ) -gpt_4_32k = Model(name="gpt-4-32k", base_provider="openai", best_provider=None) - -gpt_4_0613 = Model(name="gpt-4-0613", base_provider="openai", best_provider=None) - 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-3.5-turbo-0613": gpt_35_turbo_0613, - "gpt-3.5-turbo-16k-0613": gpt_35_turbo_16k_0613, "gpt-4": gpt_4, - "gpt-4-32k": gpt_4_32k, - "gpt-4-0613": gpt_4_0613, - "claude-instant-v1-100k": claude_instant_v1_100k, - "claude-v1-100k": claude_v1_100k, + # 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, - "alpaca-7b": alpaca_7b, - "stablelm-tuned-alpha-7b": stablelm_tuned_alpha_7b, - "bloom": bloom, - "bloomz": bloomz, - "flan-t5-xxl": flan_t5_xxl, - "flan-ul2": flan_ul2, + "claude-v2": claude_v2, + "command-light-nightly": command_light_nightly, + "command-nightly": command_nightly, "gpt-neox-20b": gpt_neox_20b, + "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, "santacoder": santacoder, - "command-medium-nightly": command_medium_nightly, - "command-xlarge-nightly": command_xlarge_nightly, - "code-cushman-001": code_cushman_001, + "bloom": bloom, + "flan-t5-xxl": flan_t5_xxl, "code-davinci-002": code_davinci_002, + "gpt-3.5-turbo-16k": gpt_35_turbo_16k, + "gpt-3.5-turbo-16k-0613": gpt_35_turbo_16k_0613, + "gpt-4-0613": gpt_4_0613, "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, - "palm2": palm, - "palm": palm, - "google": palm, - "google-bard": palm, - "google-palm": palm, - "bard": palm, - "falcon-40b": falcon_40b, - "falcon-7b": falcon_7b, - "llama-13b": llama_13b, + "llama13b-v2-chat": llama13b_v2_chat, + "llama7b-v2-chat": llama7b_v2_chat, } |