metadata
license: apache-2.0
language:
- en
- es
- fr
- de
- it
- pt
- ru
- ar
- hi
- ko
- zh
library_name: mlx
base_model: arcee-ai/Trinity-Large-Thinking
arxiv:
- 2602.17004
tags:
- reasoning
- agentic
- tool-calling
- thinking
- mlx
pipeline_tag: text-generation
mlx-community/Trinity-Large-Thinking-5bit
This model mlx-community/Trinity-Large-Thinking-5bit was converted to MLX format from arcee-ai/Trinity-Large-Thinking using mlx-lm version 0.31.2.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/Trinity-Large-Thinking-5bit")
prompt = "hello"
if tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, add_generation_prompt=True, return_dict=False,
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)