Instructions to use ekryski/starcoder2-3b-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use ekryski/starcoder2-3b-4bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir starcoder2-3b-4bit ekryski/starcoder2-3b-4bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
| { | |
| "architectures" : [ | |
| "Starcoder2ForCausalLM" | |
| ], | |
| "attention_dropout" : 0.10000000000000001, | |
| "bos_token_id" : 0, | |
| "embedding_dropout" : 0.10000000000000001, | |
| "eos_token_id" : 0, | |
| "hidden_act" : "gelu_pytorch_tanh", | |
| "hidden_size" : 3072, | |
| "initializer_range" : 0.018041999999999999, | |
| "intermediate_size" : 12288, | |
| "max_position_embeddings" : 16384, | |
| "mlp_type" : "default", | |
| "model_type" : "starcoder2", | |
| "norm_epsilon" : 1.0000000000000001e-05, | |
| "norm_type" : "layer_norm", | |
| "num_attention_heads" : 24, | |
| "num_hidden_layers" : 30, | |
| "num_key_value_heads" : 2, | |
| "quantization" : { | |
| "bits" : 4, | |
| "group_size" : 64, | |
| "mode" : "affine" | |
| }, | |
| "quantization_config" : { | |
| "bits" : 4, | |
| "group_size" : 64, | |
| "mode" : "affine" | |
| }, | |
| "residual_dropout" : 0.10000000000000001, | |
| "rope_theta" : 999999.44203588134, | |
| "sliding_window" : 4096, | |
| "transformers_version" : "4.37.0.dev0", | |
| "use_bias" : 1, | |
| "use_cache" : 1, | |
| "vocab_size" : 49152 | |
| } |