Instructions to use mlx-community/MiniCPM-2B-dpo-bf16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/MiniCPM-2B-dpo-bf16 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir MiniCPM-2B-dpo-bf16 mlx-community/MiniCPM-2B-dpo-bf16
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
| { | |
| "architectures": [ | |
| "MiniCPMForCausalLM" | |
| ], | |
| "auto_map": { | |
| "AutoConfig": "configuration_minicpm.MiniCPMConfig", | |
| "AutoModel": "modeling_minicpm.MiniCPMModel", | |
| "AutoModelForCausalLM": "modeling_minicpm.MiniCPMForCausalLM", | |
| "AutoModelForSeq2SeqLM": "modeling_minicpm.MiniCPMForCausalLM", | |
| "AutoModelForSequenceClassification": "modeling_minicpm.MiniCPMForSequenceClassification" | |
| }, | |
| "bos_token_id": 1, | |
| "dim_model_base": 256, | |
| "eos_token_id": 2, | |
| "hidden_act": "silu", | |
| "hidden_size": 2304, | |
| "initializer_range": 0.1, | |
| "intermediate_size": 5760, | |
| "max_position_embeddings": 4096, | |
| "model_type": "minicpm", | |
| "num_attention_heads": 36, | |
| "num_hidden_layers": 40, | |
| "num_key_value_heads": 36, | |
| "rms_norm_eps": 1e-05, | |
| "rope_scaling": null, | |
| "scale_depth": 1.4, | |
| "scale_emb": 12, | |
| "torch_dtype": "bfloat16", | |
| "transformers_version": "4.36.0", | |
| "use_cache": true, | |
| "vocab_size": 122753 | |
| } |