metadata
base_model: tslim1/acemath-convfinqa
library_name: transformers
model_name: acemath-convfinqa
tags:
- generated_from_trainer
- trl
- sft
- mlx
- mlx-my-repo
licence: license
tslim1/acemath-convfinqa-mlx-8Bit
The Model tslim1/acemath-convfinqa-mlx-8Bit was converted to MLX format from tslim1/acemath-convfinqa using mlx-lm version 0.26.3.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("tslim1/acemath-convfinqa-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)