Text Generation
MLX
Safetensors
English
llama
optiq
quantized
mixed-precision
4bit
8bit
apple-silicon
edit-prediction
next-edit-suggestion
code
autocomplete
fim
4-bit precision
Instructions to use bouroo/zeta-2.1-OptiQ-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use bouroo/zeta-2.1-OptiQ-4 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("bouroo/zeta-2.1-OptiQ-4") 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 bouroo/zeta-2.1-OptiQ-4 with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "bouroo/zeta-2.1-OptiQ-4" --prompt "Once upon a time"
- Atomic Chat
File size: 371 Bytes
cfcf8eb | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | {
"backend": "tokenizers",
"bos_token": "<[begin▁of▁sentence]>",
"clean_up_tokenization_spaces": false,
"eos_token": "<[end▁of▁sentence]>",
"is_local": true,
"local_files_only": false,
"model_max_length": 32768,
"pad_token": "<[PAD▁TOKEN]>",
"padding_side": "left",
"sep_token": "<[SEP▁TOKEN]>",
"tokenizer_class": "TokenizersBackend"
}
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