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eyes-ml
Available on FriendliAI
Run this model inference on single tenant GPU with unmatched speed and reliability at scale.
Model Details
Model Provider
eyes-ml
Model Tree
eyes-ml/fai-v04e2q35-9b-sparkle
Input Modalities
Output Modalities
Supported Functionality
bash
pip install mlx-lm
python
from mlx_lm import load, generatemodel, tokenizer = load("eyes-ml/fai-v04e2q35-9b-sparkle-mlx-6Bit")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)