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-rw-r--r--g4f/models.py154
1 files changed, 46 insertions, 108 deletions
diff --git a/g4f/models.py b/g4f/models.py
index 0c5eaa9f..40de22ba 100644
--- a/g4f/models.py
+++ b/g4f/models.py
@@ -2,27 +2,27 @@ from __future__ import annotations
from dataclasses import dataclass
-from .Provider import RetryProvider, ProviderType
+from .Provider import IterListProvider, ProviderType
from .Provider import (
Aichatos,
Bing,
Blackbox,
- Chatgpt4Online,
ChatgptAi,
ChatgptNext,
- Cohere,
Cnote,
DeepInfra,
+ DuckDuckGo,
+ Ecosia,
Feedough,
FreeGpt,
Gemini,
- GeminiProChat,
+ GeminiPro,
GigaChat,
HuggingChat,
HuggingFace,
Koala,
Liaobots,
- Llama,
+ MetaAI,
OpenaiChat,
PerplexityLabs,
Replicate,
@@ -32,7 +32,6 @@ from .Provider import (
Reka
)
-
@dataclass(unsafe_hash=True)
class Model:
"""
@@ -55,12 +54,12 @@ class Model:
default = Model(
name = "",
base_provider = "",
- best_provider = RetryProvider([
+ best_provider = IterListProvider([
Bing,
ChatgptAi,
You,
- Chatgpt4Online,
- OpenaiChat
+ OpenaiChat,
+ Ecosia,
])
)
@@ -68,11 +67,14 @@ default = Model(
gpt_35_long = Model(
name = 'gpt-3.5-turbo',
base_provider = 'openai',
- best_provider = RetryProvider([
+ best_provider = IterListProvider([
FreeGpt,
You,
ChatgptNext,
OpenaiChat,
+ Koala,
+ Ecosia,
+ DuckDuckGo,
])
)
@@ -80,7 +82,7 @@ gpt_35_long = Model(
gpt_35_turbo = Model(
name = 'gpt-3.5-turbo',
base_provider = 'openai',
- best_provider = RetryProvider([
+ best_provider = IterListProvider([
FreeGpt,
You,
ChatgptNext,
@@ -95,7 +97,7 @@ gpt_35_turbo = Model(
gpt_4 = Model(
name = 'gpt-4',
base_provider = 'openai',
- best_provider = RetryProvider([
+ best_provider = IterListProvider([
Bing, Liaobots,
])
)
@@ -103,8 +105,8 @@ gpt_4 = Model(
gpt_4o = Model(
name = 'gpt-4o',
base_provider = 'openai',
- best_provider = RetryProvider([
- You
+ best_provider = IterListProvider([
+ You, Liaobots
])
)
@@ -120,46 +122,22 @@ gigachat = Model(
best_provider = GigaChat
)
-gigachat_plus = Model(
- name = 'GigaChat-Plus',
- base_provider = 'gigachat',
- best_provider = GigaChat
-)
-
-gigachat_pro = Model(
- name = 'GigaChat-Pro',
- base_provider = 'gigachat',
- best_provider = GigaChat
-)
-
-llama2_7b = Model(
- name = "meta-llama/Llama-2-7b-chat-hf",
- base_provider = 'meta',
- best_provider = RetryProvider([Llama, DeepInfra])
-)
-
-llama2_13b = Model(
- name = "meta-llama/Llama-2-13b-chat-hf",
- base_provider = 'meta',
- best_provider = RetryProvider([Llama, DeepInfra])
-)
-
-llama2_70b = Model(
- name = "meta-llama/Llama-2-70b-chat-hf",
+meta = Model(
+ name = "meta",
base_provider = "meta",
- best_provider = RetryProvider([Llama, DeepInfra])
+ best_provider = MetaAI
)
llama3_8b_instruct = Model(
name = "meta-llama/Meta-Llama-3-8B-Instruct",
base_provider = "meta",
- best_provider = RetryProvider([Llama, DeepInfra, Replicate])
+ best_provider = IterListProvider([DeepInfra, PerplexityLabs, Replicate])
)
llama3_70b_instruct = Model(
name = "meta-llama/Meta-Llama-3-70B-Instruct",
base_provider = "meta",
- best_provider = RetryProvider([Llama, DeepInfra])
+ best_provider = IterListProvider([DeepInfra, PerplexityLabs, Replicate])
)
codellama_34b_instruct = Model(
@@ -171,61 +149,30 @@ codellama_34b_instruct = Model(
codellama_70b_instruct = Model(
name = "codellama/CodeLlama-70b-Instruct-hf",
base_provider = "meta",
- best_provider = RetryProvider([DeepInfra, PerplexityLabs])
+ best_provider = IterListProvider([DeepInfra, PerplexityLabs])
)
# Mistral
mixtral_8x7b = Model(
name = "mistralai/Mixtral-8x7B-Instruct-v0.1",
base_provider = "huggingface",
- best_provider = RetryProvider([DeepInfra, HuggingFace, PerplexityLabs])
+ best_provider = IterListProvider([DeepInfra, HuggingFace, PerplexityLabs])
)
mistral_7b = Model(
name = "mistralai/Mistral-7B-Instruct-v0.1",
base_provider = "huggingface",
- best_provider = RetryProvider([HuggingChat, HuggingFace, PerplexityLabs])
+ best_provider = IterListProvider([HuggingChat, HuggingFace, PerplexityLabs])
)
mistral_7b_v02 = Model(
name = "mistralai/Mistral-7B-Instruct-v0.2",
base_provider = "huggingface",
- best_provider = DeepInfra
-)
-
-mixtral_8x22b = Model(
- name = "HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1",
- base_provider = "huggingface",
- best_provider = DeepInfra
-)
-
-# Misc models
-dolphin_mixtral_8x7b = Model(
- name = "cognitivecomputations/dolphin-2.6-mixtral-8x7b",
- base_provider = "huggingface",
- best_provider = DeepInfra
-)
-
-lzlv_70b = Model(
- name = "lizpreciatior/lzlv_70b_fp16_hf",
- base_provider = "huggingface",
- best_provider = DeepInfra
-)
-
-airoboros_70b = Model(
- name = "deepinfra/airoboros-70b",
- base_provider = "huggingface",
- best_provider = DeepInfra
-)
-
-openchat_35 = Model(
- name = "openchat/openchat_3.5",
- base_provider = "huggingface",
- best_provider = DeepInfra
+ best_provider = IterListProvider([DeepInfra, HuggingFace, PerplexityLabs])
)
# Bard
-gemini = bard = palm = Model(
+gemini = Model(
name = 'gemini',
base_provider = 'google',
best_provider = Gemini
@@ -234,7 +181,7 @@ gemini = bard = palm = Model(
claude_v2 = Model(
name = 'claude-v2',
base_provider = 'anthropic',
- best_provider = RetryProvider([Vercel])
+ best_provider = IterListProvider([Vercel])
)
claude_3_opus = Model(
@@ -249,6 +196,12 @@ claude_3_sonnet = Model(
best_provider = You
)
+claude_3_haiku = Model(
+ name = 'claude-3-haiku',
+ base_provider = 'anthropic',
+ best_provider = DuckDuckGo
+)
+
gpt_35_turbo_16k = Model(
name = 'gpt-3.5-turbo-16k',
base_provider = 'openai',
@@ -288,7 +241,7 @@ gpt_4_32k_0613 = Model(
gemini_pro = Model(
name = 'gemini-pro',
base_provider = 'google',
- best_provider = RetryProvider([GeminiProChat, You])
+ best_provider = IterListProvider([GeminiPro, You])
)
pi = Model(
@@ -300,13 +253,13 @@ pi = Model(
dbrx_instruct = Model(
name = 'databricks/dbrx-instruct',
base_provider = 'mistral',
- best_provider = RetryProvider([DeepInfra, PerplexityLabs])
+ best_provider = IterListProvider([DeepInfra, PerplexityLabs])
)
command_r_plus = Model(
name = 'CohereForAI/c4ai-command-r-plus',
base_provider = 'mistral',
- best_provider = RetryProvider([HuggingChat, Cohere])
+ best_provider = IterListProvider([HuggingChat])
)
blackbox = Model(
@@ -334,9 +287,8 @@ class ModelUtils:
'gpt-3.5-turbo-0613' : gpt_35_turbo_0613,
'gpt-3.5-turbo-16k' : gpt_35_turbo_16k,
'gpt-3.5-turbo-16k-0613' : gpt_35_turbo_16k_0613,
-
'gpt-3.5-long': gpt_35_long,
-
+
# gpt-4
'gpt-4o' : gpt_4o,
'gpt-4' : gpt_4,
@@ -345,52 +297,38 @@ class ModelUtils:
'gpt-4-32k-0613' : gpt_4_32k_0613,
'gpt-4-turbo' : gpt_4_turbo,
- # Llama
- 'llama2-7b' : llama2_7b,
- 'llama2-13b': llama2_13b,
- 'llama2-70b': llama2_70b,
-
- 'llama3-8b' : llama3_8b_instruct, # alias
+ "meta-ai": meta,
+ 'llama3-8b': llama3_8b_instruct, # alias
'llama3-70b': llama3_70b_instruct, # alias
'llama3-8b-instruct' : llama3_8b_instruct,
'llama3-70b-instruct': llama3_70b_instruct,
-
+
'codellama-34b-instruct': codellama_34b_instruct,
'codellama-70b-instruct': codellama_70b_instruct,
- # GigaChat
- 'gigachat' : gigachat,
- 'gigachat_plus': gigachat_plus,
- 'gigachat_pro' : gigachat_pro,
-
# Mistral Opensource
'mixtral-8x7b': mixtral_8x7b,
'mistral-7b': mistral_7b,
'mistral-7b-v02': mistral_7b_v02,
- 'mixtral-8x22b': mixtral_8x22b,
- 'dolphin-mixtral-8x7b': dolphin_mixtral_8x7b,
-
+
# google gemini
'gemini': gemini,
'gemini-pro': gemini_pro,
-
+
# anthropic
'claude-v2': claude_v2,
'claude-3-opus': claude_3_opus,
'claude-3-sonnet': claude_3_sonnet,
-
+ 'claude-3-haiku': claude_3_haiku,
+
# reka core
- 'reka-core': reka_core,
'reka': reka_core,
- 'Reka Core': reka_core,
-
+
# other
'blackbox': blackbox,
'command-r+': command_r_plus,
'dbrx-instruct': dbrx_instruct,
- 'lzlv-70b': lzlv_70b,
- 'airoboros-70b': airoboros_70b,
- 'openchat_3.5': openchat_35,
+ 'gigachat': gigachat,
'pi': pi
}
generated by cgit v1.2.3 (git 2.25.1) at 2024-11-01 07:43:23 +0100