Instructions to use MCES10/code-gen-gemma-2-2b-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use MCES10/code-gen-gemma-2-2b-it with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("MCES10/code-gen-gemma-2-2b-it", set_active=True) - Inference
- Notebooks
- Google Colab
- Kaggle
Download config.json from MCES10/code-gen-gemma-2-2b-it: direct link, hf CLI and curl.
- Browser
- Download file 909 Bytes
-
https://huggingface.co/MCES10/code-gen-gemma-2-2b-it/resolve/main/config.json
- Command line
-
hf download hf://MCES10/code-gen-gemma-2-2b-it/config.json
-
curl -L -o config.json https://huggingface.co/MCES10/code-gen-gemma-2-2b-it/resolve/main/config.json
909 Bytes
| { | |
| "architectures": [ | |
| "Gemma2ForCausalLM" | |
| ], | |
| "attention_bias": false, | |
| "attention_dropout": 0.0, | |
| "attn_logit_softcapping": 50.0, | |
| "bos_token_id": 2, | |
| "cache_implementation": "hybrid", | |
| "eos_token_id": [ | |
| 1, | |
| 107 | |
| ], | |
| "final_logit_softcapping": 30.0, | |
| "head_dim": 256, | |
| "hidden_act": "gelu_pytorch_tanh", | |
| "hidden_activation": "gelu_pytorch_tanh", | |
| "hidden_size": 2304, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 9216, | |
| "max_position_embeddings": 8192, | |
| "model_type": "gemma2", | |
| "num_attention_heads": 8, | |
| "num_hidden_layers": 26, | |
| "num_key_value_heads": 4, | |
| "pad_token_id": 0, | |
| "query_pre_attn_scalar": 256, | |
| "rms_norm_eps": 1e-06, | |
| "rope_theta": 10000.0, | |
| "sliding_window": 4096, | |
| "torch_dtype": "bfloat16", | |
| "transformers_version": "4.42.4", | |
| "use_cache": true, | |
| "vocab_size": 256000 | |
| } |