base_model, language, library_name, license, tags
| base_model | language | library_name | license | tags | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| unsloth/gemma-2-2b-it |
|
transformers | gemma |
|
TeunS/Geert
The Model TeunS/Geert was converted to MLX format from unsloth/gemma-2-2b-it using mlx-lm version 0.19.3.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("TeunS/Geert")
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)
Description