Instructions to use fredrunit/embeddinggemma-2-text-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use fredrunit/embeddinggemma-2-text-8bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download fredrunit/embeddinggemma-2-text-8bit --local-dir embeddinggemma-2-text-8bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
File size: 2,253 Bytes
997ec04 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 | {
"architectures": [
"EmbeddingGemma2Model"
],
"dtype": "bfloat16",
"initializer_range": 0.02,
"model_type": "embedding_gemma2",
"quantization": {
"bits": 8,
"group_size": 64,
"mode": "affine"
},
"quantization_config": {
"bits": 8,
"group_size": 64,
"mode": "affine"
},
"text_config": {
"attention_bias": false,
"attention_dropout": 0.0,
"bos_token_id": 2,
"dtype": "bfloat16",
"embedding_dim": 768,
"eos_token_id": 1,
"head_dim": 256,
"hidden_activation": "gelu_pytorch_tanh",
"hidden_size": 512,
"hidden_size_per_layer_input": 512,
"initializer_range": 0.02,
"intermediate_size": 2048,
"layer_types": [
"sliding_attention",
"sliding_attention",
"sliding_attention",
"sliding_attention",
"sliding_attention",
"full_attention",
"sliding_attention",
"sliding_attention",
"sliding_attention",
"sliding_attention",
"sliding_attention",
"full_attention",
"sliding_attention",
"sliding_attention",
"sliding_attention",
"sliding_attention",
"sliding_attention",
"full_attention",
"sliding_attention",
"sliding_attention",
"sliding_attention",
"sliding_attention",
"sliding_attention",
"full_attention"
],
"max_position_embeddings": 262144,
"model_type": "embedding_gemma2_text",
"num_attention_heads": 4,
"num_hidden_layers": 24,
"num_key_value_heads": 2,
"pad_token_id": 0,
"per_layer_config": {
"05": {
"head_dim": 512,
"num_key_value_heads": 1
},
"11": {
"head_dim": 512,
"num_key_value_heads": 1
},
"17": {
"head_dim": 512,
"num_key_value_heads": 1
},
"23": {
"head_dim": 512,
"num_key_value_heads": 1
}
},
"rms_norm_eps": 1e-06,
"rope_parameters": {
"full_attention": {
"rope_theta": 1000000.0,
"rope_type": "default"
},
"sliding_attention": {
"rope_theta": 10000.0,
"rope_type": "default"
}
},
"sliding_window": 512,
"vocab_size": 262144
},
"transformers_version": "5.18.0.dev0"
}
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