inference: false
library_name: transformers
language:
- en
- fr
- de
- es
- it
- pt
- ja
- ko
- zh
- ar
- el
- fa
- pl
- id
- cs
- he
- hi
- nl
- ro
- ru
- tr
- uk
- vi
license: cc-by-nc-4.0
base_model: lenML/aya-expanse-8b-abliterated
tags: - gguf
- CohereForAI
- mlx
- mlx-my-repo
KYUNGYONG/aya-expanse-8b-abliterated-Q4-mlx
The Model KYUNGYONG/aya-expanse-8b-abliterated-Q4-mlx was converted to MLX format from lenML/aya-expanse-8b-abliterated using mlx-lm version 0.21.5.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("KYUNGYONG/aya-expanse-8b-abliterated-Q4-mlx")
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)