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4-bit precision
introvoyz041/Ministral-3-14B-Reasoning-2512-ShiningValiant3-mlx-4Bit
The Model introvoyz041/Ministral-3-14B-Reasoning-2512-ShiningValiant3-mlx-4Bit was converted to MLX format from ValiantLabs/Ministral-3-14B-Reasoning-2512-ShiningValiant3 using mlx-lm version 0.28.3.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("introvoyz041/Ministral-3-14B-Reasoning-2512-ShiningValiant3-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)
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Model tree for introvoyz041/Ministral-3-14B-Reasoning-2512-ShiningValiant3-mlx-4Bit
Base model
mistralai/Ministral-3-14B-Base-2512
Finetuned
mistralai/Ministral-3-14B-Reasoning-2512