README.md

metadata

library_name: transformers
license: llama3
base_model: goppa-ai/Goppa-LogiLlama
tags:
  - full
  - generated_from_trainer
  - nlp
  - mlx
  - mlx-my-repo
datasets:
  - open-thoughts/open-thoughts-114k
  - open-thoughts/OpenThoughts-Unverified-173k
model-index:
  - name: stratos_unverified_mix_2nodes
    results: []

alexgusevski/Goppa-LogiLlama-3bit

The Model alexgusevski/Goppa-LogiLlama-3bit was converted to MLX format from goppa-ai/Goppa-LogiLlama using mlx-lm version 0.21.5.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("alexgusevski/Goppa-LogiLlama-3bit")

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)