Downloads · 30 days
17
10% of all-time downloads
jilid_Qwen2.5-1.5B-Instruct-4bit_v1
jarkas/jilid_Qwen2.5-1.5B-Instruct-4bit_v1
jilid_Qwen2.5-1.5B-Instruct-4bit_v1 is a text generation model from jarkas. Use it when you need the model to write or continue text. It is set up for mlx. The card lists the license as apache-2.0.
The Model uploadreponame was converted to MLX format from mlx-community/Qwen2.5-1.5B-Instruct-4bit using mlx-lm version 0.21.5.
All-time downloads
174
Public
Parameters
1.5B
880 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors869 MB · 98%
Parameter types
How the weights are stored.
U321.5B · 100%
Try a prompt
Base models
Model card
From the Hugging Face model README
upload_repo_name
The Model upload_repo_name was converted to MLX format from mlx-community/Qwen2.5-1.5B-Instruct-4bit using mlx-lm version 0.21.5.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("upload_repo_name")
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)
- Task
- Text Generation
- Library
- mlx
- Type
- qwen2
- License
- apache-2.0
- Languages
- en
- Created
- Mar 11, 2025
- Updated
- Mar 11, 2025