Text Generation
MLX
Safetensors
Rust
English
qwen3
logic
rhetoric
math
programming
aarch64
c
nushell
grammar
conversational
Instructions to use dougiefresh/jade_qwen3_4b_mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use dougiefresh/jade_qwen3_4b_mlx with MLX:
# Make sure mlx-lm is installed # pip install --upgrade mlx-lm # Generate text with mlx-lm from mlx_lm import load, generate model, tokenizer = load("dougiefresh/jade_qwen3_4b_mlx") prompt = "Write a story about Einstein" messages = [{"role": "user", "content": prompt}] prompt = tokenizer.apply_chat_template( messages, add_generation_prompt=True ) text = generate(model, tokenizer, prompt=prompt, verbose=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- MLX LM
How to use dougiefresh/jade_qwen3_4b_mlx with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Interactive chat REPL mlx_lm.chat --model "dougiefresh/jade_qwen3_4b_mlx"
Run an OpenAI-compatible server
# Install MLX LM uv tool install mlx-lm # Start the server mlx_lm.server --model "dougiefresh/jade_qwen3_4b_mlx" # Calling the OpenAI-compatible server with curl curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "dougiefresh/jade_qwen3_4b_mlx", "messages": [ {"role": "user", "content": "Hello"} ] }' - Atomic Chat
Download config.json from dougiefresh/jade_qwen3_4b_mlx: direct link, hf CLI and curl.
- Browser
- Download file 784 Bytes
-
https://huggingface.co/dougiefresh/jade_qwen3_4b_mlx/resolve/main/config.json
- Command line
-
hf download hf://dougiefresh/jade_qwen3_4b_mlx/config.json
-
curl -L -o config.json https://huggingface.co/dougiefresh/jade_qwen3_4b_mlx/resolve/main/config.json
784 Bytes
| { | |
| "architectures": [ | |
| "Qwen3ForCausalLM" | |
| ], | |
| "attention_bias": false, | |
| "attention_dropout": 0.0, | |
| "bos_token_id": 151643, | |
| "eos_token_id": 151645, | |
| "head_dim": 128, | |
| "hidden_act": "silu", | |
| "hidden_size": 2560, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 9728, | |
| "max_position_embeddings": 40960, | |
| "max_window_layers": 36, | |
| "model_type": "qwen3", | |
| "num_attention_heads": 32, | |
| "num_hidden_layers": 36, | |
| "num_key_value_heads": 8, | |
| "rms_norm_eps": 1e-06, | |
| "rope_scaling": null, | |
| "rope_theta": 1000000, | |
| "sliding_window": null, | |
| "tie_word_embeddings": true, | |
| "torch_dtype": "bfloat16", | |
| "transformers_version": "4.51.3", | |
| "use_cache": true, | |
| "use_sliding_window": false, | |
| "vocab_size": 151936 | |
| } |