README.md

metadata

language:
  - en
license: apache-2.0
tags:
  - Qwen-3-14B
  - instruct
  - finetune
  - reasoning
  - hybrid-mode
  - chatml
  - function calling
  - tool use
  - json mode
  - structured outputs
  - atropos
  - dataforge
  - long context
  - roleplaying
  - chat
  - mlx
base_model: NousResearch/Hermes-4-14B
library_name: mlx
widget:
  - example_title: Hermes 4
    messages:
      - role: system
        content: >-
          You are Hermes 4, a capable, neutrally-aligned assistant. Prefer
          concise, correct answers.
      - role: user
        content: Explain the difference between BFS and DFS to a new CS student.
pipeline_tag: text-generation
model-index:
  - name: Hermes-4-Qwen-3-14B
    results: []

NexVeridian/Hermes-4-14B-8bit

This model NexVeridian/Hermes-4-14B-8bit was converted to MLX format from NousResearch/Hermes-4-14B using mlx-lm version 0.27.1.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("NexVeridian/Hermes-4-14B-8bit")

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)