Instructions to use Fmuaddib/Yi-34B-200K-mlx-8Bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use Fmuaddib/Yi-34B-200K-mlx-8Bit 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("Fmuaddib/Yi-34B-200K-mlx-8Bit") 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 Fmuaddib/Yi-34B-200K-mlx-8Bit with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "Fmuaddib/Yi-34B-200K-mlx-8Bit" --prompt "Once upon a time"
- Atomic Chat
- Xet hash:
- 515fb3e0fe5f36cdd967a91eace081f39f379f869c95afff03a52be0fed5da6a
- Size of remote file:
- 1.03 MB
- SHA256:
- 386c49cf943d71aa110361135338c50e38beeff0a66593480421f37b319e1a39
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