How to use from the
Use from the
MLX library
# Download the model from the Hub
pip install huggingface_hub[hf_xet]

huggingface-cli download --local-dir llm-compiler-7b-ftd-mlx-8bit typealias/llm-compiler-7b-ftd-mlx-8bit

typealias/llm-compiler-7b-ftd-mlx-8bit

The Model typealias/llm-compiler-7b-ftd-mlx-8bit was converted to MLX format from typealias/llm-compiler-7b-ftd using mlx-lm version 0.15.0.

Use with mlx

pip install mlx-lm
from mlx_lm import load, generate

model, tokenizer = load("typealias/llm-compiler-7b-ftd-mlx-8bit")
response = generate(model, tokenizer, prompt="hello", verbose=True)
Downloads last month
13
Safetensors
Model size
2B params
Tensor type
F16
·
U32
·
MLX
Hardware compatibility
Log In to add your hardware

Quantized

Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support