Text Generation
Safetensors
MLX
English
mlx-lm
prompt-reconstruction
prompt-inversion
prompt-recovery
inverse-prompting
response-to-prompt
semantic-similarity
ultrachat
qwen2.5
lora
apple-silicon
8-bit precision
quantized
small-language-model
Instructions to use ddrisco11/TROUT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use ddrisco11/TROUT 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("ddrisco11/TROUT") 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 ddrisco11/TROUT with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "ddrisco11/TROUT" --prompt "Once upon a time"
- Atomic Chat
Ctrl+K