Instructions to use mlx-community/Arcee-Agent-2bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/Arcee-Agent-2bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download mlx-community/Arcee-Agent-2bit --local-dir Arcee-Agent-2bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download config.json from mlx-community/Arcee-Agent-2bit: direct link, hf CLI and curl.
- Browser
- Download file 763 Bytes
-
https://huggingface.co/mlx-community/Arcee-Agent-2bit/resolve/main/config.json
- Command line
-
hf download hf://mlx-community/Arcee-Agent-2bit/config.json
-
curl -L -o config.json https://huggingface.co/mlx-community/Arcee-Agent-2bit/resolve/main/config.json
763 Bytes
| { | |
| "architectures": [ | |
| "Qwen2ForCausalLM" | |
| ], | |
| "attention_dropout": 0.0, | |
| "eos_token_id": 151645, | |
| "hidden_act": "silu", | |
| "hidden_size": 3584, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 18944, | |
| "max_position_embeddings": 131072, | |
| "max_window_layers": 28, | |
| "model_type": "qwen2", | |
| "num_attention_heads": 28, | |
| "num_hidden_layers": 28, | |
| "num_key_value_heads": 4, | |
| "quantization": { | |
| "group_size": 64, | |
| "bits": "2" | |
| }, | |
| "rms_norm_eps": 1e-06, | |
| "rope_theta": 1000000.0, | |
| "sliding_window": 131072, | |
| "tie_word_embeddings": false, | |
| "torch_dtype": "bfloat16", | |
| "transformers_version": "4.42.3", | |
| "use_cache": false, | |
| "use_sliding_window": false, | |
| "vocab_size": 152064 | |
| } |