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mlx-community/Josiefied-Qwen2.5-7B-Instruct-abliterated-v2-2-bit
Josiefied-Qwen2.5-7B-Instruct-abliterated-v2-2-bit is a text generation model from mlx-community. 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 mlx-community/Josiefied-Qwen2.5-7B-Instruct-abliterated-v2-2-bit was converted to MLX format from Goekdeniz-Guelmez/Josiefied-Qwen2.5-7B-Instruct-abliterated-v2 using mlx-lm version 0.18.2.
Downloads · 30 days
102
14% of all-time downloads
All-time downloads
716
Public
Parameters
7.6B
2.4 GB on disk
Likes
1
Public
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.safetensors2.4 GB · 100%
How the weights are stored.
U327.6B · 100%
From the Hugging Face model README
The Model mlx-community/Josiefied-Qwen2.5-7B-Instruct-abliterated-v2-2-bit was converted to MLX format from Goekdeniz-Guelmez/Josiefied-Qwen2.5-7B-Instruct-abliterated-v2 using mlx-lm version 0.18.2.
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/Josiefied-Qwen2.5-7B-Instruct-abliterated-v2-2-bit")
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)