Instructions to use inferencerlabs/archived-Step-3.7-Flash-LM-MLX-9bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use inferencerlabs/archived-Step-3.7-Flash-LM-MLX-9bit 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("inferencerlabs/archived-Step-3.7-Flash-LM-MLX-9bit") 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 inferencerlabs/archived-Step-3.7-Flash-LM-MLX-9bit with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "inferencerlabs/archived-Step-3.7-Flash-LM-MLX-9bit" --prompt "Once upon a time"
Step-3.7-Flash
This model has been superseded by the higher quality version available here
See Step-3.7-Flash in action: demonstration videos
Originally tested with an M3 Ultra 512 GiB using Inferencer app v1.11.7
- Text inference: ~36.1 tokens/s @ 1000 tokens ~206 GiB
Disclaimer
We are not the creator, originator, or owner of any model listed. Each model is created and provided by third parties. Models may not always be accurate or contextually appropriate. You are responsible for verifying the information before making important decisions. We are not liable for any damages, losses, or issues arising from its use, including data loss or inaccuracies in AI-generated content.
Model tree for inferencerlabs/archived-Step-3.7-Flash-LM-MLX-9bit
Base model
stepfun-ai/Step-3.7-Flash