Instructions to use SceneWorks/kolors-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use SceneWorks/kolors-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir kolors-mlx SceneWorks/kolors-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
| { | |
| "_name_or_path": "models/kolors", | |
| "add_bias_linear": false, | |
| "add_qkv_bias": true, | |
| "apply_query_key_layer_scaling": true, | |
| "apply_residual_connection_post_layernorm": false, | |
| "architectures": [ | |
| "ChatGLMModel" | |
| ], | |
| "attention_dropout": 0.0, | |
| "attention_softmax_in_fp32": true, | |
| "auto_map": { | |
| "AutoConfig": "configuration_chatglm.ChatGLMConfig", | |
| "AutoModel": "modeling_chatglm.ChatGLMForConditionalGeneration", | |
| "AutoModelForCausalLM": "modeling_chatglm.ChatGLMForConditionalGeneration", | |
| "AutoModelForSeq2SeqLM": "modeling_chatglm.ChatGLMForConditionalGeneration", | |
| "AutoModelForSequenceClassification": "modeling_chatglm.ChatGLMForSequenceClassification" | |
| }, | |
| "bias_dropout_fusion": true, | |
| "classifier_dropout": null, | |
| "eos_token_id": 2, | |
| "ffn_hidden_size": 13696, | |
| "fp32_residual_connection": false, | |
| "hidden_dropout": 0.0, | |
| "hidden_size": 4096, | |
| "kv_channels": 128, | |
| "layernorm_epsilon": 0.00001, | |
| "model_type": "chatglm", | |
| "multi_query_attention": true, | |
| "multi_query_group_num": 2, | |
| "num_attention_heads": 32, | |
| "num_layers": 28, | |
| "original_rope": true, | |
| "pad_token_id": 0, | |
| "padded_vocab_size": 65024, | |
| "post_layer_norm": true, | |
| "pre_seq_len": null, | |
| "prefix_projection": false, | |
| "quantization_bit": 0, | |
| "rmsnorm": true, | |
| "seq_length": 32768, | |
| "tie_word_embeddings": false, | |
| "torch_dtype": "float16", | |
| "transformers_version": "4.41.2", | |
| "use_cache": true, | |
| "vocab_size": 65024, | |
| "quantization": { | |
| "bits": 4, | |
| "group_size": 64 | |
| } | |
| } |