mlx-community/Granite-4.0-350m-gabliterated-8bit
This model mlx-community/Granite-4.0-350m-gabliterated-8bit was converted to MLX format from Goekdeniz-Guelmez/Granite-4.0-350m-gabliterated using mlx-lm version 0.30.4.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/Granite-4.0-350m-gabliterated-8bit")
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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Model size
99.1M params
Tensor type
BF16
·
U32 ·
Hardware compatibility
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8-bit
Model tree for mlx-community/Granite-4.0-350m-gabliterated-8bit
Base model
ibm-granite/granite-4.0-350m-base
Finetuned
ibm-granite/granite-4.0-350m Datasets used to train mlx-community/Granite-4.0-350m-gabliterated-8bit
Evaluation results
- KL Divergence on Harmless Alpacaself-reported0.269
- Refusal Rate on Harmful Behaviorsself-reported0.020