metadata
license: other
language:
- en
library_name: transformers
tags:
- RLHF
- Nexusflow
- Athene
- Chat Model
- mlx
- mlx-my-repo
base_model: Nexusflow/Athene-V2-Chat
JustinIrv/Athene-V2-Chat-Q4-mlx
The Model JustinIrv/Athene-V2-Chat-Q4-mlx was converted to MLX format from Nexusflow/Athene-V2-Chat using mlx-lm version 0.19.2.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("JustinIrv/Athene-V2-Chat-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)