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
File size: 976 Bytes
f2f3940 | 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 | {
"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
} |