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from dataclasses import dataclass
from .Provider import Bard, BaseProvider, GetGpt, H2o, Liaobots, Vercel, Equing
@dataclass
class Model:
name: str
base_provider: str
best_provider: type[BaseProvider]
# GPT-3.5 / GPT-4
gpt_35_turbo = Model(
name = 'gpt-3.5-turbo',
base_provider = 'openai',
best_provider = GetGpt)
gpt_4 = Model(
name = 'gpt-4',
base_provider = 'openai',
best_provider = Liaobots)
# 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 = 'anthropic:claude-instant-v1',
base_provider = 'anthropic',
best_provider = Vercel)
claude_v1 = Model(
name = 'anthropic:claude-v1',
base_provider = 'anthropic',
best_provider = Vercel)
claude_v2 = Model(
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)
command_nightly = Model(
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)
oasst_sft_1_pythia_12b = Model(
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)
santacoder = Model(
name = 'huggingface:bigcode/santacoder',
base_provider = 'huggingface',
best_provider = Vercel)
bloom = Model(
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)
code_davinci_002 = Model(
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)
gpt_35_turbo_16k_0613 = Model(
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)
text_ada_001 = Model(
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)
text_curie_001 = Model(
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)
text_davinci_003 = Model(
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)
llama7b_v2_chat = Model(
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,
# 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,
'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,
}
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