MLX
Safetensors
qwen2
6-bit

mlx-community/zed-industries-zeta-6bit

The Model mlx-community/zed-industries-zeta-6bit was converted to MLX format from zed-industries/zeta using mlx-lm version 0.21.4 by Focused.

Focused Logo

Use with mlx

pip install mlx-lm
from mlx_lm import load, generate

model, tokenizer = load("mlx-community/zed-industries-zeta-6bit")

prompt = "hello"

if tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, add_generation_prompt=True
    )

response = generate(model, tokenizer, prompt=prompt, verbose=True)

Focused is a technology company at the forefront of AI-driven development, empowering organizations to unlock the full potential of artificial intelligence. From integrating innovative models into existing systems to building scalable, modern AI infrastructures, we specialize in delivering tailored, incremental solutions that meet you where you are. Curious how we can help with your AI next project? Get in Touch

Focused Logo

Downloads last month
26
Safetensors
Model size
1.67B params
Tensor type
FP16
·
U32
·
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for mlx-community/zed-industries-zeta-6bit

Quantized
(12)
this model

Dataset used to train mlx-community/zed-industries-zeta-6bit