README.md

metadata

language:
  - de
  - bg
  - cs
  - da
  - el
  - en
  - es
  - et
  - fi
  - fr
  - ga
  - hr
  - hu
  - it
  - lt
  - lv
  - mt
  - nl
  - pl
  - pt
  - ro
  - sl
  - sv
  - sk
metrics:
  - accuracy
  - bleu
pipeline_tag: text-generation
library_name: transformers
base_model: openGPT-X/Teuken-7B-instruct-commercial-v0.4
license: apache-2.0
tags:
  - mlx

stelterlab/Teuken-7B-instruct-commercial-v0.4-MLX-4bit

The Model stelterlab/Teuken-7B-instruct-commercial-v0.4-MLX-4bit was converted to MLX format from openGPT-X/Teuken-7B-instruct-commercial-v0.4 using mlx-lm version 0.19.2.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("stelterlab/Teuken-7B-instruct-commercial-v0.4-MLX-4bit")

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)