Instructions to use ntedvs/irex with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use ntedvs/irex with MLX:
# Make sure mlx-lm is installed # pip install --upgrade mlx-lm # if on a CUDA device, also pip install mlx[cuda] # Generate text with mlx-lm from mlx_lm import load, generate model, tokenizer = load("ntedvs/irex") prompt = "Once upon a time in" text = generate(model, tokenizer, prompt=prompt, verbose=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- MLX LM
How to use ntedvs/irex with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "ntedvs/irex" --prompt "Once upon a time"
- Atomic Chat
Download config.json from ntedvs/irex: direct link, hf CLI and curl.
- Browser
- Download file 179 Bytes
-
https://huggingface.co/ntedvs/irex/resolve/main/config.json
- Command line
-
hf download hf://ntedvs/irex/config.json
-
curl -L -o config.json https://huggingface.co/ntedvs/irex/resolve/main/config.json
179 Bytes
| {"vocab": 4355, "dim": 192, "layers": 4, "heads": 4, "ffn_mult": 2.6666666666666665, "max_len": 320, "dropout": 0.05, "rope_base": 10000.0, "compute": "bfloat16", "prefix": false} |