summaryrefslogtreecommitdiffstats
path: root/g4f/models.py
diff options
context:
space:
mode:
Diffstat (limited to 'g4f/models.py')
-rw-r--r--g4f/models.py270
1 files changed, 122 insertions, 148 deletions
diff --git a/g4f/models.py b/g4f/models.py
index 64951792..e61ebbcd 100644
--- a/g4f/models.py
+++ b/g4f/models.py
@@ -1,8 +1,6 @@
from dataclasses import dataclass
-
from .Provider import Bard, BaseProvider, GetGpt, H2o, Liaobots, Vercel, Equing
-
@dataclass
class Model:
name: str
@@ -12,214 +10,190 @@ class Model:
# GPT-3.5 / GPT-4
gpt_35_turbo = Model(
- name="gpt-3.5-turbo",
- base_provider="openai",
- best_provider=GetGpt,
-)
+ name = 'gpt-3.5-turbo',
+ base_provider = 'openai',
+ best_provider = GetGpt)
gpt_4 = Model(
- name="gpt-4",
- base_provider="openai",
- best_provider=Liaobots,
-)
+ name = 'gpt-4',
+ base_provider = 'openai',
+ best_provider = Liaobots)
# Bard
palm = Model(
- name="palm",
- base_provider="google",
- best_provider=Bard,
-)
+ 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,
-)
+ 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,
-)
+ 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,
-)
+ 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=Vercel,
-)
+ name = 'anthropic:claude-instant-v1',
+ base_provider = 'anthropic',
+ best_provider = Vercel)
claude_v1 = Model(
- name="anthropic:claude-v1",
- base_provider="anthropic",
- best_provider=Vercel,
-)
+ name = 'anthropic:claude-v1',
+ base_provider = 'anthropic',
+ best_provider = Vercel)
claude_v2 = Model(
- name="anthropic:claude-v2",
- base_provider="anthropic",
- best_provider=Vercel,
-)
+ name = 'anthropic:claude-v2',
+ base_provider = 'anthropic',
+ best_provider = Vercel)
command_light_nightly = Model(
- name="cohere:command-light-nightly",
- base_provider="cohere",
- best_provider=Vercel,
-)
+ name = 'cohere:command-light-nightly',
+ base_provider = 'cohere',
+ best_provider = Vercel)
command_nightly = Model(
- name="cohere:command-nightly",
- base_provider="cohere",
- best_provider=Vercel,
-)
+ name = 'cohere:command-nightly',
+ base_provider = 'cohere',
+ best_provider = Vercel)
gpt_neox_20b = Model(
- name="huggingface:EleutherAI/gpt-neox-20b",
- base_provider="huggingface",
- best_provider=Vercel,
-)
+ name = 'huggingface:EleutherAI/gpt-neox-20b',
+ base_provider = 'huggingface',
+ best_provider = Vercel)
oasst_sft_1_pythia_12b = Model(
- name="huggingface:OpenAssistant/oasst-sft-1-pythia-12b",
- base_provider="huggingface",
- best_provider=Vercel,
-)
+ name = 'huggingface:OpenAssistant/oasst-sft-1-pythia-12b',
+ base_provider = 'huggingface',
+ best_provider = Vercel)
oasst_sft_4_pythia_12b_epoch_35 = Model(
- name="huggingface:OpenAssistant/oasst-sft-4-pythia-12b-epoch-3.5",
- base_provider="huggingface",
- best_provider=Vercel,
-)
+ name = 'huggingface:OpenAssistant/oasst-sft-4-pythia-12b-epoch-3.5',
+ base_provider = 'huggingface',
+ best_provider = Vercel)
santacoder = Model(
- name="huggingface:bigcode/santacoder",
- base_provider="huggingface",
- best_provider=Vercel,
-)
+ name = 'huggingface:bigcode/santacoder',
+ base_provider = 'huggingface',
+ best_provider = Vercel)
bloom = Model(
- name="huggingface:bigscience/bloom",
- base_provider="huggingface",
- best_provider=Vercel,
-)
+ name = 'huggingface:bigscience/bloom',
+ base_provider = 'huggingface',
+ best_provider = Vercel)
flan_t5_xxl = Model(
- name="huggingface:google/flan-t5-xxl",
- base_provider="huggingface",
- best_provider=Vercel,
-)
+ name = 'huggingface:google/flan-t5-xxl',
+ base_provider = 'huggingface',
+ best_provider = Vercel)
code_davinci_002 = Model(
- name="openai:code-davinci-002",
- base_provider="openai",
- best_provider=Vercel,
-)
+ name = 'openai:code-davinci-002',
+ base_provider = 'openai',
+ best_provider = Vercel)
gpt_35_turbo_16k = Model(
- name="openai:gpt-3.5-turbo-16k",
- base_provider="openai",
- best_provider=Vercel,
-)
+ name = 'openai:gpt-3.5-turbo-16k',
+ base_provider = 'openai',
+ best_provider = Vercel)
gpt_35_turbo_16k_0613 = Model(
- name="openai:gpt-3.5-turbo-16k-0613",
- base_provider="openai",
- best_provider=Equing,
-)
+ name = 'openai:gpt-3.5-turbo-16k-0613',
+ base_provider = 'openai',
+ best_provider = Equing)
gpt_4_0613 = Model(
- name="openai:gpt-4-0613",
- base_provider="openai",
- best_provider=Vercel,
-)
+ name = 'openai:gpt-4-0613',
+ base_provider = 'openai',
+ best_provider = Vercel)
text_ada_001 = Model(
- name="openai:text-ada-001",
- base_provider="openai",
- best_provider=Vercel,
-)
+ name = 'openai:text-ada-001',
+ base_provider = 'openai',
+ best_provider = Vercel)
text_babbage_001 = Model(
- name="openai:text-babbage-001",
- base_provider="openai",
- best_provider=Vercel,
-)
+ name = 'openai:text-babbage-001',
+ base_provider = 'openai',
+ best_provider = Vercel)
text_curie_001 = Model(
- name="openai:text-curie-001",
- base_provider="openai",
- best_provider=Vercel,
-)
+ name = 'openai:text-curie-001',
+ base_provider = 'openai',
+ best_provider = Vercel)
text_davinci_002 = Model(
- name="openai:text-davinci-002",
- base_provider="openai",
- best_provider=Vercel,
-)
+ name = 'openai:text-davinci-002',
+ base_provider = 'openai',
+ best_provider = Vercel)
text_davinci_003 = Model(
- name="openai:text-davinci-003",
- base_provider="openai",
- best_provider=Vercel,
-)
+ name = 'openai: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,
-)
+ 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,
-)
+ 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-4": gpt_4,
+ 'gpt-3.5-turbo' : gpt_35_turbo,
+ 'gpt-4' : gpt_4,
+
# Bard
- "palm2": palm,
- "palm": palm,
- "google": palm,
- "google-bard": palm,
- "google-palm": palm,
- "bard": palm,
+ '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,
+ '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-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,
- "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,
- "llama13b-v2-chat": llama13b_v2_chat,
- "llama7b-v2-chat": llama7b_v2_chat,
- }
+ '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,
+ 'gpt-3.5-turbo-16k' : gpt_35_turbo_16k,
+ '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,
+ '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,
+ 'gpt-3.5-turbo-16k-0613' : gpt_35_turbo_16k_0613,
+ } \ No newline at end of file
generated by cgit v1.2.3 (git 2.25.1) at 2024-06-02 07:01:17 +0200