mirror of
https://github.com/google-ai-edge/gallery.git
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74 lines
3.2 KiB
JSON
74 lines
3.2 KiB
JSON
{
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"models": [
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{
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"name": "Gemma-3n-E2B-it-int4",
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"modelId": "google/gemma-3n-E2B-it-litert-preview",
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"modelFile": "gemma-3n-E2B-it-int4.task",
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"description": "Preview version of [Gemma 3n E2B](https://ai.google.dev/gemma/docs/gemma-3n) ready for deployment on Android using the [MediaPipe LLM Inference API](https://ai.google.dev/edge/mediapipe/solutions/genai/llm_inference). The current checkpoint only supports text and vision input, with 4096 context length.",
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"sizeInBytes": 3136226711,
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"estimatedPeakMemoryInBytes": 5905580032,
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"version": "20250520",
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"llmSupportImage": true,
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"defaultConfig": {
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"topK": 64,
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"topP": 0.95,
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"temperature": 1.0,
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"maxTokens": 4096,
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"accelerators": "cpu,gpu"
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},
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"taskTypes": ["llm_chat", "llm_prompt_lab", "llm_ask_image"]
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},
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{
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"name": "Gemma-3n-E4B-it-int4",
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"modelId": "google/gemma-3n-E4B-it-litert-preview",
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"modelFile": "gemma-3n-E4B-it-int4.task",
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"description": "Preview version of [Gemma 3n E4B](https://ai.google.dev/gemma/docs/gemma-3n) ready for deployment on Android using the [MediaPipe LLM Inference API](https://ai.google.dev/edge/mediapipe/solutions/genai/llm_inference). The current checkpoint only supports text and vision input, with 4096 context length.",
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"sizeInBytes": 4405655031,
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"estimatedPeakMemoryInBytes": 6979321856,
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"version": "20250520",
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"llmSupportImage": true,
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"defaultConfig": {
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"topK": 64,
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"topP": 0.95,
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"temperature": 1.0,
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"maxTokens": 4096,
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"accelerators": "cpu,gpu"
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},
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"taskTypes": ["llm_chat", "llm_prompt_lab", "llm_ask_image"]
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},
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{
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"name": "Gemma3-1B-IT q4",
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"modelId": "litert-community/Gemma3-1B-IT",
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"modelFile": "Gemma3-1B-IT_multi-prefill-seq_q4_ekv2048.task",
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"description": "A variant of [google/Gemma-3-1B-IT](https://huggingface.co/google/Gemma-3-1B-IT) with 4-bit quantization ready for deployment on Android using the [MediaPipe LLM Inference API](https://ai.google.dev/edge/mediapipe/solutions/genai/llm_inference)",
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"sizeInBytes": 554661246,
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"version": "20250514",
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"defaultConfig": {
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"topK": 64,
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"topP": 0.95,
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"temperature": 1.0,
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"maxTokens": 1024,
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"accelerators": "gpu,cpu"
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},
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"taskTypes": ["llm_chat", "llm_prompt_lab"]
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},
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{
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"name": "Qwen2.5-1.5B-Instruct q8",
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"modelId": "litert-community/Qwen2.5-1.5B-Instruct",
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"modelFile": "Qwen2.5-1.5B-Instruct_multi-prefill-seq_q8_ekv1280.task",
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"description": "A variant of [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct) with 8-bit quantization ready for deployment on Android using the [MediaPipe LLM Inference API](https://ai.google.dev/edge/mediapipe/solutions/genai/llm_inference)",
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"sizeInBytes": 1625493432,
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"estimatedPeakMemoryInBytes": 2684354560,
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"version": "20250514",
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"defaultConfig": {
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"topK": 40,
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"topP": 0.95,
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"temperature": 1.0,
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"maxTokens": 1024,
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"accelerators": "cpu"
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},
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"taskTypes": ["llm_chat", "llm_prompt_lab"]
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}
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]
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}
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