MLX-Optimized-Models
Collection
3 items • Updated
How to use AlphaOxO/GPT-X2.5-125M-8bits-mlx 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("AlphaOxO/GPT-X2.5-125M-8bits-mlx")
prompt = "Once upon a time in"
text = generate(model, tokenizer, prompt=prompt, verbose=True)How to use AlphaOxO/GPT-X2.5-125M-8bits-mlx with MLX LM:
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "AlphaOxO/GPT-X2.5-125M-8bits-mlx" --prompt "Once upon a time"
8-bit
Base model
AxiomicLabs/GPT-X2.5-135M