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14% of all-time downloads
KYUNGYONG/Qwen2.5-Coder-14B-Instruct-abliterated-4bit
Qwen2.5-Coder-14B-Instruct-abliterated-4bit is a text generation model from KYUNGYONG. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
The Model KYUNGYONG/Qwen2.5-Coder-14B-Instruct-abliterated-4bit was converted to MLX format from huihui-ai/Qwen2.5-Coder-14B-Instruct-abliterated using mlx-lm version 0.21.5.
Downloads · 30 days
72
14% of all-time downloads
All-time downloads
512
Public
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14.8B
8.3 GB on disk
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Public
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.safetensors8.3 GB · 100%
How the weights are stored.
U3214.8B · 100%
From the Hugging Face model README
The Model KYUNGYONG/Qwen2.5-Coder-14B-Instruct-abliterated-4bit was converted to MLX format from huihui-ai/Qwen2.5-Coder-14B-Instruct-abliterated using mlx-lm version 0.21.5.
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("KYUNGYONG/Qwen2.5-Coder-14B-Instruct-abliterated-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)