Instructions to use carlmuck/Star-Command-R-32B-v1-mlx-4Bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use carlmuck/Star-Command-R-32B-v1-mlx-4Bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Star-Command-R-32B-v1-mlx-4Bit carlmuck/Star-Command-R-32B-v1-mlx-4Bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
| { | |
| "architectures": [ | |
| "CohereForCausalLM" | |
| ], | |
| "attention_bias": false, | |
| "attention_dropout": 0.0, | |
| "bos_token_id": 5, | |
| "eos_token_id": 255001, | |
| "hidden_act": "silu", | |
| "hidden_size": 8192, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 24576, | |
| "layer_norm_eps": 1e-05, | |
| "logit_scale": 0.0625, | |
| "max_position_embeddings": 131072, | |
| "model_type": "cohere", | |
| "num_attention_heads": 64, | |
| "num_hidden_layers": 40, | |
| "num_key_value_heads": 8, | |
| "pad_token_id": 0, | |
| "quantization": { | |
| "group_size": 64, | |
| "bits": 4, | |
| "mode": "affine" | |
| }, | |
| "quantization_config": { | |
| "group_size": 64, | |
| "bits": 4, | |
| "mode": "affine" | |
| }, | |
| "rope_theta": 4000000, | |
| "torch_dtype": "bfloat16", | |
| "transformers_version": "4.44.0", | |
| "use_cache": false, | |
| "use_qk_norm": false, | |
| "vocab_size": 256000 | |
| } |