README.md

metadata

license: apache-2.0
tags:
  - merge
  - mergekit
  - lazymergekit
  - UnfilteredAI/DAN-Qwen3-1.7B
  - Menlo/Lucy-128k
  - POLARIS-Project/Polaris-1.7B-Preview
  - mlx
library_name: mlx
base_model: bunnycore/Qwen3-1.7B-Nyx
pipeline_tag: text-generation

Qwen3-1.7B-Nyx-dq58-mlx

This model Qwen3-1.7B-Nyx-dq58-mlx was converted to MLX format from bunnycore/Qwen3-1.7B-Nyx using mlx-lm version 0.26.0.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("Qwen3-1.7B-Nyx-dq58-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)