summaryrefslogtreecommitdiffstats
path: root/g4f/models.py
diff options
context:
space:
mode:
Diffstat (limited to 'g4f/models.py')
-rw-r--r--g4f/models.py215
1 files changed, 46 insertions, 169 deletions
diff --git a/g4f/models.py b/g4f/models.py
index 40a72d77..e58ccef2 100644
--- a/g4f/models.py
+++ b/g4f/models.py
@@ -3,6 +3,7 @@ from dataclasses import dataclass
from .Provider import RetryProvider, ProviderType
from .Provider import (
Chatgpt4Online,
+ PerplexityLabs,
ChatgptDemoAi,
GeminiProChat,
ChatgptNext,
@@ -25,7 +26,6 @@ from .Provider import (
Bard,
Bing,
You,
- H2o,
Pi,
)
@@ -78,7 +78,7 @@ gpt_35_long = Model(
gpt_35_turbo = Model(
name = 'gpt-3.5-turbo',
base_provider = 'openai',
- best_provider=RetryProvider([
+ best_provider = RetryProvider([
GptGo, You,
GptForLove, ChatBase,
Chatgpt4Online,
@@ -114,30 +114,53 @@ llama2_13b = Model(
llama2_70b = Model(
name = "meta-llama/Llama-2-70b-chat-hf",
base_provider = "huggingface",
- best_provider = RetryProvider([Llama2, DeepInfra, HuggingChat])
+ best_provider = RetryProvider([Llama2, DeepInfra, HuggingChat, PerplexityLabs])
)
-# Mistal
+codellama_34b_instruct = Model(
+ name = "codellama/CodeLlama-34b-Instruct-hf",
+ base_provider = "huggingface",
+ best_provider = RetryProvider([HuggingChat, PerplexityLabs, DeepInfra])
+)
+
+# Mistral
mixtral_8x7b = Model(
name = "mistralai/Mixtral-8x7B-Instruct-v0.1",
base_provider = "huggingface",
- best_provider = RetryProvider([DeepInfra, HuggingChat])
+ best_provider = RetryProvider([DeepInfra, HuggingChat, PerplexityLabs])
)
mistral_7b = Model(
name = "mistralai/Mistral-7B-Instruct-v0.1",
base_provider = "huggingface",
- best_provider = RetryProvider([DeepInfra, HuggingChat])
+ best_provider = RetryProvider([DeepInfra, HuggingChat, PerplexityLabs])
)
-# Dolphin
+# Misc models
dolphin_mixtral_8x7b = Model(
name = "cognitivecomputations/dolphin-2.6-mixtral-8x7b",
base_provider = "huggingface",
best_provider = DeepInfra
)
-# OpenChat
+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
+)
+
+airoboros_l2_70b = Model(
+ name = "jondurbin/airoboros-l2-70b-gpt4-1.4.1",
+ base_provider = "huggingface",
+ best_provider = DeepInfra
+)
+
openchat_35 = Model(
name = "openchat/openchat_3.5",
base_provider = "huggingface",
@@ -145,92 +168,23 @@ openchat_35 = Model(
)
# Bard
-palm = Model(
+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)
+ best_provider = Bard
+)
claude_v2 = Model(
name = 'claude-v2',
base_provider = 'anthropic',
- best_provider = RetryProvider([FreeChatgpt, 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)
+ best_provider = RetryProvider([FreeChatgpt, Vercel])
+)
gpt_35_turbo_16k = Model(
name = 'gpt-3.5-turbo-16k',
base_provider = 'openai',
- best_provider = gpt_35_long.best_provider)
+ best_provider = gpt_35_long.best_provider
+)
gpt_35_turbo_16k_0613 = Model(
name = 'gpt-3.5-turbo-16k-0613',
@@ -268,50 +222,10 @@ gemini_pro = Model(
best_provider = RetryProvider([FreeChatgpt, GeminiProChat])
)
-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)
-
-llama70b_v2_chat = Model(
- name = 'replicate/llama70b-v2-chat',
- base_provider = 'replicate',
- best_provider = Vercel)
-
pi = Model(
name = 'pi',
base_provider = 'inflection',
- best_provider=Pi
+ best_provider = Pi
)
class ModelUtils:
@@ -341,56 +255,19 @@ class ModelUtils:
'llama2-7b' : llama2_7b,
'llama2-13b': llama2_13b,
'llama2-70b': llama2_70b,
+ 'codellama-34b-instruct': codellama_34b_instruct,
- # Mistral
'mixtral-8x7b': mixtral_8x7b,
'mistral-7b': mistral_7b,
-
- # Dolphin
'dolphin-mixtral-8x7b': dolphin_mixtral_8x7b,
-
- # OpenChat
+ 'lzlv-70b': lzlv_70b,
+ 'airoboros-70b': airoboros_70b,
+ 'airoboros-l2-70b': airoboros_l2_70b,
'openchat_3.5': openchat_35,
-
- # Gemini Pro
'gemini-pro': gemini_pro,
- # 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,
- 'llama70b-v2-chat' : llama70b_v2_chat,
- '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,
-
+ 'bard': bard,
+ 'claude-v2': claude_v2,
'pi': pi
}
-_all_models = list(ModelUtils.convert.keys())
+_all_models = list(ModelUtils.convert.keys()) \ No newline at end of file