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{
"catboost": {
"name": "Titanic Survival Prediction",
"image": "https://qwak-public.s3.amazonaws.com/qwak-frontend/onboarding/catboost.png",
"source": {
"folder": "titanic_conda/main",
"files": [
"__init__.py",
"conda.yml",
"model.py"
]
},
"deploy": {
"pods": "1",
"instance": "small"
},
"tags": [
"Example model",
"CatBoost"
]
},
"xgboost": {
"name": "User Churn Estimation",
"image": "https://qwak-public.s3.amazonaws.com/qwak-frontend/onboarding/xg_boost.png",
"source": {
"folder": "xgboost_conda/main",
"files": [
"__init__.py",
"conda.yml",
"model.py"
]
},
"deploy": {
"pods": "1",
"instance": "small"
},
"tags": [
"Example model",
"XGBoost"
]
},
"llm": {
"bert": {
"name": "BERT base",
"description": "Popular transformer-based model for uncased text processing",
"image": "https://qwak-public.s3.amazonaws.com/qwak-frontend/onboarding/google.svg",
"featured": true,
"license": "Apache 2.0",
"source": {
"folder": "bert_conda/main",
"files": [
"__init__.py",
"conda.yml",
"model.py"
]
},
"deploy": {
"pods": "1",
"instance": "small"
},
"tags": [
"LLM"
]
},
"distilgpt2": {
"name": "DistilGPT2",
"description": "A lightweight version of the GPT-2 language generation model",
"image": "https://qwak-public.s3.amazonaws.com/qwak-frontend/onboarding/huggingface.png",
"featured": true,
"license": "Apache 2.0",
"source": {
"folder": "distilgpt2_conda/main",
"files": [
"__init__.py",
"conda.yml",
"model.py"
]
},
"deploy": {
"pods": "1",
"instance": "small",
"timeout": 50000
},
"tags": [
"Generative AI",
"LLM"
]
},
"finetuned_flan_t5": {
"name": "Finetuned FLAN-T5",
"description": "Finetuning FLAN-T5 on financial QA data",
"image": "https://qwak-public.s3.amazonaws.com/qwak-frontend/onboarding/google.svg",
"license": "Apache 2.0",
"source": {
"folder": "flan_t5_finetuned_poetry/main",
"files": [
"__init__.py",
"pyproject.toml",
"model.py",
"training.py",
"dataset_loader.py",
"helpers.py"
]
},
"build": {
"instance": "medium"
},
"deploy": {
"workers": "1",
"pods": "1",
"instance": "medium",
"timeout": 50000
},
"tags": [
"LLM",
"Generative AI"
]
},
"flan_t5": {
"name": "FLAN-T5",
"description": "An enhanced T5 model trained on a mixture of tasks",
"image": "https://qwak-public.s3.amazonaws.com/qwak-frontend/onboarding/google.svg",
"featured": true,
"license": "Apache 2.0",
"source": {
"folder": "flan_t5_poetry/main",
"files": [
"__init__.py",
"pyproject.toml",
"model.py"
]
},
"deploy": {
"pods": "1",
"instance": "small",
"timeout": 50000
},
"tags": [
"LLM"
]
},
"embeddings": {
"name": "Sentence Embeddings",
"description": "The all-MiniLM-L12-v2 model for semantic search",
"license": "Apache 2.0",
"image": "https://qwak-public.s3.amazonaws.com/qwak-frontend/onboarding/huggingface.png",
"featured": true,
"source": {
"folder": "sentence_transformers_poetry/main",
"files": [
"__init__.py",
"pyproject.toml",
"model.py"
]
},
"deploy": {
"pods": "1",
"instance": "small"
},
"tags": [
"Embeddings",
"Semantic Search"
]
},
"llama2": {
"name": "Llama-2",
"description": "A leading open-source LLM",
"license": "Llama 2",
"image": "https://qwak-public.s3.amazonaws.com/qwak-frontend/onboarding/huggingface.png",
"source": {
"folder": "llama2/main",
"files": [
"__init__.py",
"requirements.txt",
"model.py"
]
},
"disabled": true,
"build": {
"instance": "small",
"gpu_compatible": true
},
"deploy": {
"pods": "1",
"workers": "1",
"instance": "gpu.a10.2xl",
"timeout": 50000
},
"tags": [
"LLM",
"Generative AI"
]
},
"codegen": {
"name": "CodeGen",
"description": "Autoregressive language models for program synthesis and code generation",
"license": "Apache-2.0",
"image": "https://qwak-public.s3.amazonaws.com/qwak-frontend/onboarding/codegen.svg",
"source": {
"folder": "codegen_conda/main",
"files": [
"__init__.py",
"conda.yml",
"model.py"
]
},
"deploy": {
"pods": "1",
"instance": "small",
"timeout": 50000
},
"tags": [
"Generative AI",
"LLM"
]
},
"gpt_neo": {
"name": "GPT-Neo",
"description": "An open-source variant of the GPT language model series",
"image": "https://qwak-public.s3.amazonaws.com/qwak-frontend/onboarding/huggingface.png",
"license": "Apache 2.0",
"source": {
"folder": "gpt_neo_conda/main",
"files": [
"__init__.py",
"conda.yml",
"model.py"
]
},
"deploy": {
"pods": "1",
"instance": "small",
"timeout": 50000
},
"tags": [
"Generative AI",
"LLM"
]
}
}
}