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
Download config.json from fredrunit/embeddinggemma-2-text-8bit: direct link, hf CLI and curl.
- Browser
- Download file 2.25 kB
-
https://huggingface.co/fredrunit/embeddinggemma-2-text-8bit/resolve/main/config.json
- Command line
-
hf download hf://fredrunit/embeddinggemma-2-text-8bit/config.json
-
curl -L -o config.json https://huggingface.co/fredrunit/embeddinggemma-2-text-8bit/resolve/main/config.json
2.25 kB
| { | |
| "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" | |
| } | |