Text Generation
MLX
Safetensors
English
lemonseed
mixture-of-experts
gated-deltanet
mixture-of-depths
rocm
base-model
Instructions to use lemonade-sdk/lemonseed-1.5b-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use lemonade-sdk/lemonseed-1.5b-base with MLX:
# Make sure mlx-lm is installed # pip install --upgrade mlx-lm # if on a CUDA device, also pip install mlx[cuda] # Generate text with mlx-lm from mlx_lm import load, generate model, tokenizer = load("lemonade-sdk/lemonseed-1.5b-base") prompt = "Once upon a time in" text = generate(model, tokenizer, prompt=prompt, verbose=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- MLX LM
How to use lemonade-sdk/lemonseed-1.5b-base with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "lemonade-sdk/lemonseed-1.5b-base" --prompt "Once upon a time"
- Atomic Chat
File size: 133 Bytes
438787b | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:5f9e4d4901a92b997e463c1f46055088b6cca5ca61a6522d1b9f64c4bb81cb42
size 12807982
|