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Added CodeLlama and misc models from DeepInfra (#1506)
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@ -120,10 +120,10 @@ llama2_70b = Model(
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codellama_34b_instruct = Model(
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name = "codellama/CodeLlama-34b-Instruct-hf",
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base_provider = "huggingface",
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best_provider = RetryProvider([HuggingChat, PerplexityLabs])
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best_provider = RetryProvider([HuggingChat, PerplexityLabs, DeepInfra])
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)
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# Mistal
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# Mistral
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mixtral_8x7b = Model(
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name = "mistralai/Mixtral-8x7B-Instruct-v0.1",
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base_provider = "huggingface",
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@ -136,14 +136,31 @@ mistral_7b = Model(
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best_provider = RetryProvider([DeepInfra, HuggingChat, PerplexityLabs])
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)
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# Dolphin
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# Misc models
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dolphin_mixtral_8x7b = Model(
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name = "cognitivecomputations/dolphin-2.6-mixtral-8x7b",
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base_provider = "huggingface",
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best_provider = DeepInfra
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)
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# OpenChat
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lzlv_70b = Model(
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name = "lizpreciatior/lzlv_70b_fp16_hf",
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base_provider = "huggingface",
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best_provider = DeepInfra
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)
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airoboros_70b = Model(
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name = "deepinfra/airoboros-70b",
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base_provider = "huggingface",
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best_provider = DeepInfra
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)
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airoboros_l2_70b = Model(
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name = "jondurbin/airoboros-l2-70b-gpt4-1.4.1",
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base_provider = "huggingface",
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best_provider = DeepInfra
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)
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openchat_35 = Model(
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name = "openchat/openchat_3.5",
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base_provider = "huggingface",
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@ -243,6 +260,9 @@ class ModelUtils:
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'mixtral-8x7b': mixtral_8x7b,
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'mistral-7b': mistral_7b,
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'dolphin-mixtral-8x7b': dolphin_mixtral_8x7b,
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'lzlv-70b': lzlv_70b,
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'airoboros-70b': airoboros_70b,
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'airoboros-l2-70b': airoboros_l2_70b,
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'openchat_3.5': openchat_35,
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'gemini-pro': gemini_pro,
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'bard': bard,
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@ -250,4 +270,4 @@ class ModelUtils:
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'pi': pi
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}
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_all_models = list(ModelUtils.convert.keys())
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_all_models = list(ModelUtils.convert.keys())
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