Text Generation
PEFT
Safetensors
MLX
English
lora
mixture-of-experts
hobbylm
agent
macos
tool-use
computer-use
on-device
Instructions to use Hobbylm/hobbylm-1B-computer-use with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Hobbylm/hobbylm-1B-computer-use with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("harims95/hobbylm-1B-instruct") model = PeftModel.from_pretrained(base_model, "Hobbylm/hobbylm-1B-computer-use") - MLX
How to use Hobbylm/hobbylm-1B-computer-use 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("Hobbylm/hobbylm-1B-computer-use") 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 Hobbylm/hobbylm-1B-computer-use with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "Hobbylm/hobbylm-1B-computer-use" --prompt "Once upon a time"
- Atomic Chat
Base Model
2
#1 opened 3 days ago
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