d5330a5159be957ceffc354f958a294e8efaac25
Model: ethicalabs/Tower-Plus-2B-mlx Source: Original Platform
base_model, license, language, library_name, pipeline_tag, tags
| base_model | license | language | library_name | pipeline_tag | tags | |||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Unbabel/Tower-Plus-2B | cc-by-nc-sa-4.0 |
|
mlx | text-generation |
|
ethicalabs/Tower-Plus-2B-mlx
Warning
This repository contains experimental models designed strictly for academic evaluation and research purposes.
Critical Constraints:
- No Production Deployment: Experimental models must not be deployed in commercial, enterprise, or mission-critical environments under any circumstances.
- No Liability: Experimental models are provided "as-is" without warranties of any kind. The developers assume zero liability for downstream consequences, system integration failures, or regulatory non-compliance resulting from unauthorized deployment.
This model ethicalabs/Tower-Plus-2B-mlx was converted to MLX format from Unbabel/Tower-Plus-2B using mlx-lm version 0.28.3.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("ethicalabs/Tower-Plus-2B-mlx")
prompt = "hello"
if tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, add_generation_prompt=True
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)
Description
Languages
Jinja
100%