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introvoyz041/C2S-Pythia-410m-diverse-single-and-multi-cell-tasks-mlx-4Bit
C2S-Pythia-410m-diverse-single-and-multi-cell-tasks-mlx-4Bit is a text generation model from introvoyz041. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as cc-by-4.0.
The Model introvoyz041/C2S-Pythia-410m-diverse-single-and-multi-cell-tasks-mlx-4Bit was converted to MLX format from vandijklab/C2S-Pythia-410m-diverse-single-and-multi-cell-tasks using mlx-lm version 0.28.3.
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How the weights are stored.
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From the Hugging Face model README
The Model introvoyz041/C2S-Pythia-410m-diverse-single-and-multi-cell-tasks-mlx-4Bit was converted to MLX format from vandijklab/C2S-Pythia-410m-diverse-single-and-multi-cell-tasks using mlx-lm version 0.28.3.
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("introvoyz041/C2S-Pythia-410m-diverse-single-and-multi-cell-tasks-mlx-4Bit")
prompt="hello"
if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, tokenize=False, add_generation_prompt=True
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)