Instructions to use whcl412/LycheeAI-coder-2b-II-pro-MLX-bf16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use whcl412/LycheeAI-coder-2b-II-pro-MLX-bf16 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download whcl412/LycheeAI-coder-2b-II-pro-MLX-bf16 --local-dir LycheeAI-coder-2b-II-pro-MLX-bf16
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
File size: 681 Bytes
0a57772 | 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 | {
"architectures": [
"LlamaForCausalLM"
],
"bos_token_id": 0,
"eos_token_id": [
1,
130073
],
"head_dim": 128,
"hidden_act": "silu",
"hidden_size": 2048,
"initializer_range": 0.02,
"intermediate_size": 6144,
"max_position_embeddings": 131072,
"model_type": "llama",
"num_attention_heads": 16,
"num_hidden_layers": 42,
"num_key_value_heads": 2,
"pad_token_id": 1,
"rms_norm_eps": 1e-06,
"rope_scaling": null,
"rope_theta": 5000000,
"tie_word_embeddings": false,
"torch_dtype": "bfloat16",
"transformers_version": "5.6.2",
"use_cache": true,
"vocab_size": 130560
} |