Text Generation
MLX
Safetensors
jev-style
English
qwen3_5
decision-model
classification
calibration
qwen3.5
single-prefill
conversational
Instructions to use chaoliangUNSW/Jev-Style-Qwen3.5-2B-Decision-v2-MLX-bf16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use chaoliangUNSW/Jev-Style-Qwen3.5-2B-Decision-v2-MLX-bf16 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("chaoliangUNSW/Jev-Style-Qwen3.5-2B-Decision-v2-MLX-bf16") 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) - jev-style
How to use chaoliangUNSW/Jev-Style-Qwen3.5-2B-Decision-v2-MLX-bf16 with jev-style:
# Apple silicon pip install "jev-style[mlx]"
from jev_style import JevStyle, noul, choice js = JevStyle.from_pretrained("chaoliangUNSW/Jev-Style-Qwen3.5-2B-Decision-v2-MLX-bf16") out = js.decide("I was charged twice for one order.", { "billing": noul("This message is about billing."), "team": choice("Which team should handle it?", ["billing", "shipping", "tech"]), }) print(out["answers"]["team"]["choice"]) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- MLX LM
How to use chaoliangUNSW/Jev-Style-Qwen3.5-2B-Decision-v2-MLX-bf16 with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Interactive chat REPL mlx_lm.chat --model "chaoliangUNSW/Jev-Style-Qwen3.5-2B-Decision-v2-MLX-bf16"
Run an OpenAI-compatible server
# Install MLX LM uv tool install mlx-lm # Start the server mlx_lm.server --model "chaoliangUNSW/Jev-Style-Qwen3.5-2B-Decision-v2-MLX-bf16" # Calling the OpenAI-compatible server with curl curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "chaoliangUNSW/Jev-Style-Qwen3.5-2B-Decision-v2-MLX-bf16", "messages": [ {"role": "user", "content": "Hello"} ] }' - Atomic Chat
Download tokenizer_config.json from chaoliangUNSW/Jev-Style-Qwen3.5-2B-Decision-v2-MLX-bf16: direct link, hf CLI and curl.
- Browser
- Download file 1.16 kB
-
https://huggingface.co/chaoliangUNSW/Jev-Style-Qwen3.5-2B-Decision-v2-MLX-bf16/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://chaoliangUNSW/Jev-Style-Qwen3.5-2B-Decision-v2-MLX-bf16/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/chaoliangUNSW/Jev-Style-Qwen3.5-2B-Decision-v2-MLX-bf16/resolve/main/tokenizer_config.json
1.16 kB
| { | |
| "add_prefix_space": false, | |
| "audio_bos_token": "<|audio_start|>", | |
| "audio_eos_token": "<|audio_end|>", | |
| "audio_token": "<|audio_pad|>", | |
| "backend": "tokenizers", | |
| "bos_token": null, | |
| "clean_up_tokenization_spaces": false, | |
| "eos_token": "<|endoftext|>", | |
| "errors": "replace", | |
| "fix_mistral_regex": false, | |
| "image_token": "<|image_pad|>", | |
| "is_local": true, | |
| "local_files_only": true, | |
| "model_max_length": 262144, | |
| "model_specific_special_tokens": { | |
| "audio_bos_token": "<|audio_start|>", | |
| "audio_eos_token": "<|audio_end|>", | |
| "audio_token": "<|audio_pad|>", | |
| "image_token": "<|image_pad|>", | |
| "video_token": "<|video_pad|>", | |
| "vision_bos_token": "<|vision_start|>", | |
| "vision_eos_token": "<|vision_end|>" | |
| }, | |
| "pad_token": "<|endoftext|>", | |
| "pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+", | |
| "split_special_tokens": false, | |
| "tokenizer_class": "Qwen2Tokenizer", | |
| "unk_token": null, | |
| "video_token": "<|video_pad|>", | |
| "vision_bos_token": "<|vision_start|>", | |
| "vision_eos_token": "<|vision_end|>" | |
| } | |