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author | xtekky <98614666+xtekky@users.noreply.github.com> | 2023-08-07 13:20:27 +0200 |
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committer | GitHub <noreply@github.com> | 2023-08-07 13:20:27 +0200 |
commit | 8d024192df662d8445265c9a4f5c7bea908fc0a6 (patch) | |
tree | 4749eb44df477c790442d912a40b86313e23d39d | |
parent | update image (diff) | |
parent | refactor: refactor models (diff) | |
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-rw-r--r-- | .vscode/settings.json | 5 | ||||
-rw-r--r-- | README.md | 2 | ||||
-rw-r--r-- | g4f/__init__.py | 6 | ||||
-rw-r--r-- | g4f/models.py | 468 |
4 files changed, 247 insertions, 234 deletions
diff --git a/.vscode/settings.json b/.vscode/settings.json index 9ee86e71..ae2a0b0e 100644 --- a/.vscode/settings.json +++ b/.vscode/settings.json @@ -1,6 +1,7 @@ { "[python]": { - "editor.defaultFormatter": "ms-python.autopep8" + "editor.defaultFormatter": "ms-python.black-formatter", + "editor.formatOnSave": true, }, "python.formatting.provider": "none" -}
\ No newline at end of file +} @@ -95,7 +95,7 @@ for message in response: print(message) # normal response -response = g4f.ChatCompletion.create(model=g4f.Model.gpt_4, messages=[ +response = g4f.ChatCompletion.create(model=g4f.models.gpt_4, messages=[ {"role": "user", "content": "hi"}]) # alterative model setting print(response) diff --git a/g4f/__init__.py b/g4f/__init__.py index 09b24b55..e5d3d4bf 100644 --- a/g4f/__init__.py +++ b/g4f/__init__.py @@ -1,12 +1,12 @@ import sys from . import Provider -from g4f.models import Model, ModelUtils +from g4f import models logging = False class ChatCompletion: @staticmethod - def create(model: Model.model or str, messages: list, provider: Provider.Provider = None, stream: bool = False, auth: str = False, **kwargs): + def create(model: models.Model | str, messages: list, provider: Provider.Provider = None, stream: bool = False, auth: str = False, **kwargs): kwargs['auth'] = auth if provider and provider.working == False: return f'{provider.__name__} is not working' @@ -19,7 +19,7 @@ class ChatCompletion: try: if isinstance(model, str): try: - model = ModelUtils.convert[model] + model = models.ModelUtils.convert[model] except KeyError: raise Exception(f'The model: {model} does not exist') diff --git a/g4f/models.py b/g4f/models.py index 95be4849..3a049614 100644 --- a/g4f/models.py +++ b/g4f/models.py @@ -1,232 +1,244 @@ -from g4f import Provider +from types import ModuleType +from . import Provider +from dataclasses import dataclass +@dataclass class Model: - class model: - name: str - base_provider: str - best_provider: str - - class gpt_35_turbo: - name: str = 'gpt-3.5-turbo' - base_provider: str = 'openai' - best_provider: Provider.Provider = Provider.Forefront - - class gpt_4: - name: str = 'gpt-4' - base_provider: str = 'openai' - best_provider: Provider.Provider = Provider.Bing - best_providers: list = [Provider.Bing, Provider.Lockchat] - - class claude_instant_v1_100k: - name: str = 'claude-instant-v1-100k' - base_provider: str = 'anthropic' - best_provider: Provider.Provider = Provider.Vercel - - class claude_instant_v1: - name: str = 'claude-instant-v1' - base_provider: str = 'anthropic' - best_provider: Provider.Provider = Provider.Vercel - - class claude_v1_100k: - name: str = 'claude-v1-100k' - base_provider: str = 'anthropic' - best_provider: Provider.Provider = Provider.Vercel - - class claude_v1: - name: str = 'claude-v1' - base_provider: str = 'anthropic' - best_provider: Provider.Provider = Provider.Vercel - - class alpaca_7b: - name: str = 'alpaca-7b' - base_provider: str = 'replicate' - best_provider: Provider.Provider = Provider.Vercel - - class stablelm_tuned_alpha_7b: - name: str = 'stablelm-tuned-alpha-7b' - base_provider: str = 'replicate' - best_provider: Provider.Provider = Provider.Vercel - - class bloom: - name: str = 'bloom' - base_provider: str = 'huggingface' - best_provider: Provider.Provider = Provider.Vercel - - class bloomz: - name: str = 'bloomz' - base_provider: str = 'huggingface' - best_provider: Provider.Provider = Provider.Vercel - - class flan_t5_xxl: - name: str = 'flan-t5-xxl' - base_provider: str = 'huggingface' - best_provider: Provider.Provider = Provider.Vercel - - class flan_ul2: - name: str = 'flan-ul2' - base_provider: str = 'huggingface' - best_provider: Provider.Provider = Provider.Vercel - - class gpt_neox_20b: - name: str = 'gpt-neox-20b' - base_provider: str = 'huggingface' - best_provider: Provider.Provider = Provider.Vercel - - class oasst_sft_4_pythia_12b_epoch_35: - name: str = 'oasst-sft-4-pythia-12b-epoch-3.5' - base_provider: str = 'huggingface' - best_provider: Provider.Provider = Provider.Vercel - - class santacoder: - name: str = 'santacoder' - base_provider: str = 'huggingface' - best_provider: Provider.Provider = Provider.Vercel - - class command_medium_nightly: - name: str = 'command-medium-nightly' - base_provider: str = 'cohere' - best_provider: Provider.Provider = Provider.Vercel - - class command_xlarge_nightly: - name: str = 'command-xlarge-nightly' - base_provider: str = 'cohere' - best_provider: Provider.Provider = Provider.Vercel - - class code_cushman_001: - name: str = 'code-cushman-001' - base_provider: str = 'openai' - best_provider: Provider.Provider = Provider.Vercel - - class code_davinci_002: - name: str = 'code-davinci-002' - base_provider: str = 'openai' - best_provider: Provider.Provider = Provider.Vercel - - class text_ada_001: - name: str = 'text-ada-001' - base_provider: str = 'openai' - best_provider: Provider.Provider = Provider.Vercel - - class text_babbage_001: - name: str = 'text-babbage-001' - base_provider: str = 'openai' - best_provider: Provider.Provider = Provider.Vercel - - class text_curie_001: - name: str = 'text-curie-001' - base_provider: str = 'openai' - best_provider: Provider.Provider = Provider.Vercel - - class text_davinci_002: - name: str = 'text-davinci-002' - base_provider: str = 'openai' - best_provider: Provider.Provider = Provider.Vercel - - class text_davinci_003: - name: str = 'text-davinci-003' - base_provider: str = 'openai' - best_provider: Provider.Provider = Provider.Vercel - - class palm: - name: str = 'palm' - base_provider: str = 'google' - best_provider: Provider.Provider = Provider.Bard - - - """ 'falcon-40b': Model.falcon_40b, - 'falcon-7b': Model.falcon_7b, - 'llama-13b': Model.llama_13b,""" - - class falcon_40b: - name: str = 'falcon-40b' - base_provider: str = 'huggingface' - best_provider: Provider.Provider = Provider.H2o - - class falcon_7b: - name: str = 'falcon-7b' - base_provider: str = 'huggingface' - best_provider: Provider.Provider = Provider.H2o - - class llama_13b: - name: str = 'llama-13b' - base_provider: str = 'huggingface' - best_provider: Provider.Provider = Provider.H2o - - class gpt_35_turbo_16k: - name: str = 'gpt-3.5-turbo-16k' - base_provider: str = 'openai' - best_provider: Provider.Provider = Provider.EasyChat - - class gpt_35_turbo_0613: - name: str = 'gpt-3.5-turbo-0613' - base_provider: str = 'openai' - best_provider: Provider.Provider = Provider.EasyChat - - class gpt_35_turbo_16k_0613: - name: str = 'gpt-3.5-turbo-16k-0613' - base_provider: str = 'openai' - best_provider: Provider.Provider = Provider.EasyChat - - class gpt_4_32k: - name: str = 'gpt-4-32k' - base_provider: str = 'openai' - best_provider = None - - class gpt_4_0613: - name: str = 'gpt-4-0613' - base_provider: str = 'openai' - best_provider = None - + name: str + base_provider: str + best_provider: ModuleType | None + + +gpt_35_turbo = Model( + name="gpt-3.5-turbo", + base_provider="openai", + best_provider=Provider.Forefront, +) + +gpt_4 = Model( + name="gpt-4", + base_provider="openai", + best_provider=Provider.Bing, +) + +claude_instant_v1_100k = Model( + name="claude-instant-v1-100k", + base_provider="anthropic", + best_provider=Provider.Vercel, +) + +claude_instant_v1 = Model( + name="claude-instant-v1", + base_provider="anthropic", + best_provider=Provider.Vercel, +) + +claude_v1_100k = Model( + name="claude-v1-100k", + base_provider="anthropic", + best_provider=Provider.Vercel, +) + +claude_v1 = Model( + name="claude-v1", + base_provider="anthropic", + best_provider=Provider.Vercel, +) + +alpaca_7b = Model( + name="alpaca-7b", + base_provider="replicate", + best_provider=Provider.Vercel, +) + +stablelm_tuned_alpha_7b = Model( + name="stablelm-tuned-alpha-7b", + base_provider="replicate", + best_provider=Provider.Vercel, +) + +bloom = Model( + name="bloom", + base_provider="huggingface", + best_provider=Provider.Vercel, +) + +bloomz = Model( + name="bloomz", + base_provider="huggingface", + best_provider=Provider.Vercel, +) + +flan_t5_xxl = Model( + name="flan-t5-xxl", + base_provider="huggingface", + best_provider=Provider.Vercel, +) + +flan_ul2 = Model( + name="flan-ul2", + base_provider="huggingface", + best_provider=Provider.Vercel, +) + +gpt_neox_20b = Model( + name="gpt-neox-20b", + base_provider="huggingface", + best_provider=Provider.Vercel, +) + +oasst_sft_4_pythia_12b_epoch_35 = Model( + name="oasst-sft-4-pythia-12b-epoch-3.5", + base_provider="huggingface", + best_provider=Provider.Vercel, +) + +santacoder = Model( + name="santacoder", + base_provider="huggingface", + best_provider=Provider.Vercel, +) + +command_medium_nightly = Model( + name="command-medium-nightly", + base_provider="cohere", + best_provider=Provider.Vercel, +) + +command_xlarge_nightly = Model( + name="command-xlarge-nightly", + base_provider="cohere", + best_provider=Provider.Vercel, +) + +code_cushman_001 = Model( + name="code-cushman-001", + base_provider="openai", + best_provider=Provider.Vercel, +) + +code_davinci_002 = Model( + name="code-davinci-002", + base_provider="openai", + best_provider=Provider.Vercel, +) + +text_ada_001 = Model( + name="text-ada-001", + base_provider="openai", + best_provider=Provider.Vercel, +) + +text_babbage_001 = Model( + name="text-babbage-001", + base_provider="openai", + best_provider=Provider.Vercel, +) + +text_curie_001 = Model( + name="text-curie-001", + base_provider="openai", + best_provider=Provider.Vercel, +) + +text_davinci_002 = Model( + name="text-davinci-002", + base_provider="openai", + best_provider=Provider.Vercel, +) + +text_davinci_003 = Model( + name="text-davinci-003", + base_provider="openai", + best_provider=Provider.Vercel, +) + +palm = Model( + name="palm", + base_provider="google", + best_provider=Provider.Bard, +) + +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, +) + +gpt_35_turbo_16k_0613 = Model( + name="gpt-3.5-turbo-16k-0613", + base_provider="openai", + best_provider=Provider.EasyChat, +) + +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 = { - 'gpt-3.5-turbo': Model.gpt_35_turbo, - 'gpt-3.6-turbo-16k': Model.gpt_35_turbo_16k, - 'gpt-3.5-turbo-0613': Model.gpt_35_turbo_0613, - 'gpt-3.5-turbo-16k-0613': Model.gpt_35_turbo_16k_0613, - - 'gpt-4': Model.gpt_4, - 'gpt-4-32k': Model.gpt_4_32k, - 'gpt-4-0613': Model.gpt_4_0613, - - 'claude-instant-v1-100k': Model.claude_instant_v1_100k, - 'claude-v1-100k': Model.claude_v1_100k, - 'claude-instant-v1': Model.claude_instant_v1, - 'claude-v1': Model.claude_v1, - - 'alpaca-7b': Model.alpaca_7b, - 'stablelm-tuned-alpha-7b': Model.stablelm_tuned_alpha_7b, - - 'bloom': Model.bloom, - 'bloomz': Model.bloomz, - - 'flan-t5-xxl': Model.flan_t5_xxl, - 'flan-ul2': Model.flan_ul2, - - 'gpt-neox-20b': Model.gpt_neox_20b, - 'oasst-sft-4-pythia-12b-epoch-3.5': Model.oasst_sft_4_pythia_12b_epoch_35, - 'santacoder': Model.santacoder, - - 'command-medium-nightly': Model.command_medium_nightly, - 'command-xlarge-nightly': Model.command_xlarge_nightly, - - 'code-cushman-001': Model.code_cushman_001, - 'code-davinci-002': Model.code_davinci_002, - - 'text-ada-001': Model.text_ada_001, - 'text-babbage-001': Model.text_babbage_001, - 'text-curie-001': Model.text_curie_001, - 'text-davinci-002': Model.text_davinci_002, - 'text-davinci-003': Model.text_davinci_003, - - 'palm2': Model.palm, - 'palm': Model.palm, - 'google': Model.palm, - 'google-bard': Model.palm, - 'google-palm': Model.palm, - 'bard': Model.palm, - - 'falcon-40b': Model.falcon_40b, - 'falcon-7b': Model.falcon_7b, - 'llama-13b': Model.llama_13b, - }
\ No newline at end of file + convert: dict[str, Model] = { + "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, + "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, + "gpt-neox-20b": gpt_neox_20b, + "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, + "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, + "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, + } |