Instructions to use sachinstag7/all-wrong-answers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use sachinstag7/all-wrong-answers with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download sachinstag7/all-wrong-answers --local-dir all-wrong-answers
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Configuration Parsing Warning:In config.json: "architectures" must be an array
sachinstag7/all-wrong-answers
This model sachinstag7/all-wrong-answers was converted to MLX format from mlx-community/Meta-Llama-3.1-8B-Instruct-4bit using mlx-lm version 0.32.2.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("sachinstag7/all-wrong-answers")
prompt = "hello"
if tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, add_generation_prompt=True, return_dict=False,
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)
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