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linroger023/Kurtis-E1.1-Qwen2.5-3B-Instruct-mlx-8Bit
Kurtis-E1.1-Qwen2.5-3B-Instruct-mlx-8Bit is a text generation model from linroger023. 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 linroger023/Kurtis-E1.1-Qwen2.5-3B-Instruct-mlx-8Bit was converted to MLX format from ethicalabs/Kurtis-E1.1-Qwen2.5-3B-Instruct using mlx-lm version 0.22.3.
Downloads · 30 days
20
11% of all-time downloads
All-time downloads
189
Public
Parameters
3.1B
3.3 GB on disk
Likes
1
Public
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.safetensors3.3 GB · 100%
How the weights are stored.
U323.1B · 100%
From the Hugging Face model README
The Model linroger023/Kurtis-E1.1-Qwen2.5-3B-Instruct-mlx-8Bit was converted to MLX format from ethicalabs/Kurtis-E1.1-Qwen2.5-3B-Instruct using mlx-lm version 0.22.3.
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("linroger023/Kurtis-E1.1-Qwen2.5-3B-Instruct-mlx-8Bit")
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)