Text Generation
MLX
Safetensors
English
nero_xs
causal-lm
recurrent-transformer
xsa
small-language-models
from-scratch
Eval Results (legacy)
Instructions to use j0no12/Nero-XS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use j0no12/Nero-XS 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("j0no12/Nero-XS") 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 j0no12/Nero-XS with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "j0no12/Nero-XS" --prompt "Once upon a time"
- Atomic Chat
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