README.md

metadata

license: other
language:
  - en
library_name: transformers
tags:
  - RLHF
  - Nexusflow
  - Athene
  - Function Calling
  - Agent
  - Extraction
  - mlx
  - mlx-my-repo
base_model: Nexusflow/Athene-V2-Agent

Beygo/Athene-V2-Agent-Q8-mlx

The Model Beygo/Athene-V2-Agent-Q8-mlx was converted to MLX format from Nexusflow/Athene-V2-Agent using mlx-lm version 0.19.2.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("Beygo/Athene-V2-Agent-Q8-mlx")

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)