metadata
license: apache-2.0
base_model: Hadisur/WhiteRabbitNeo-V3-7B
language:
- en
pipeline_tag: text-generation
library_name: transformers
tags:
- code
- qwen-coder
- cybersecurity
- devops
- mlx
- mlx-my-repo
hobaratio/WhiteRabbitNeo-V3-7B-mlx-8Bit
The Model hobaratio/WhiteRabbitNeo-V3-7B-mlx-8Bit was converted to MLX format from Hadisur/WhiteRabbitNeo-V3-7B using mlx-lm version 0.26.3.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("hobaratio/WhiteRabbitNeo-V3-7B-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)