README.md

metadata

license: mit
language:
  - en
base_model: prithivMLmods/Phi-4-Empathetic
pipeline_tag: text-generation
library_name: transformers
tags:
  - text-generation-inference
  - phi
  - phi3
  - llama
  - human_like_reasoning
  - mlx
  - mlx-my-repo

YuHaaa/Phi-4-Empathetic-mlx-8Bit

The Model YuHaaa/Phi-4-Empathetic-mlx-8Bit was converted to MLX format from prithivMLmods/Phi-4-Empathetic using mlx-lm version 0.22.1.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("YuHaaa/Phi-4-Empathetic-mlx-8Bit")

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)