Downloads · 30 days
18
10% of all-time downloads
introvoyz041/DeepCoder-1.5B-Preview-mlx-fp16-mlx-4Bit
DeepCoder-1.5B-Preview-mlx-fp16-mlx-4Bit is a text generation model from introvoyz041. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as mit.
The Model introvoyz041/DeepCoder-1.5B-Preview-mlx-fp16-mlx-4Bit was converted to MLX format from tawankri/DeepCoder-1.5B-Preview-mlx-fp16 using mlx-lm version 0.28.3.
Downloads · 30 days
18
10% of all-time downloads
All-time downloads
172
Public
Parameters
1.8B
1.1 GB on disk
Likes
0
Public
Click a slice to open those files.
.safetensors1.1 GB · 99%
How the weights are stored.
U321.8B · 100%
From the Hugging Face model README
The Model introvoyz041/DeepCoder-1.5B-Preview-mlx-fp16-mlx-4Bit was converted to MLX format from tawankri/DeepCoder-1.5B-Preview-mlx-fp16 using mlx-lm version 0.28.3.
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("introvoyz041/DeepCoder-1.5B-Preview-mlx-fp16-mlx-4Bit")
prompt="hello"
if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, tokenize=False, add_generation_prompt=True
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)