metadata
license: apache-2.0
language:
- en
- th
library_name: transformers
datasets:
- wannaphong/KhanomTanLLM-pretrained-dataset
base_model: pythainlp/KhanomTanLLM-3B
tags:
- mlx
tawankri/KhanomTanLLM-3B-mlx-8Bit
The Model tawankri/KhanomTanLLM-3B-mlx-8Bit was converted to MLX format from pythainlp/KhanomTanLLM-3B using mlx-lm version 0.22.1.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("tawankri/KhanomTanLLM-3B-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)