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-5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use bouroo/zeta-2.1-OptiQ-5 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-5") 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-5 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-5" --prompt "Once upon a time"
- Atomic Chat
Download tokenizer.json from bouroo/zeta-2.1-OptiQ-5: direct link, hf CLI and curl.
- Browser
- Download file 11.9 MB
-
https://huggingface.co/bouroo/zeta-2.1-OptiQ-5/resolve/main/tokenizer.json
- Command line
-
hf download hf://bouroo/zeta-2.1-OptiQ-5/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/bouroo/zeta-2.1-OptiQ-5/resolve/main/tokenizer.json
11.9 MB
- Xet hash:
- 5c1fffb4e4a1f571ad7f37c329dcdd7d94c13185cd72480570f1975ea9ea5309
- Size of remote file:
- 11.9 MB
- SHA256:
- db6520146c388c495a98bbea62ff6d00c0a8935bed33622e33bb33ec71aaafed
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