base_model: byroneverson/Yi-1.5-9B-Chat-abliterated
license: apache-2.0
pipeline_tag: text-generation
language:
- zh
- en
tags: - llm
- long context
- yi
- chat
- it
- abliterated
- mlx
- mlx-my-repo
library_name: transformers
Fmuaddib/Yi-1.5-9B-Chat-abliterated-mlx-8Bit
The Model Fmuaddib/Yi-1.5-9B-Chat-abliterated-mlx-8Bit was converted to MLX format from byroneverson/Yi-1.5-9B-Chat-abliterated using mlx-lm version 0.22.1.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("Fmuaddib/Yi-1.5-9B-Chat-abliterated-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)