mlx-community/Luni_StarDust-12b-v2
The Model mlx-community/Luni_StarDust-12b-v2 was converted to MLX format from Luni/StarDust-12b-v2 using mlx-lm version 0.19.0.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/Luni_StarDust-12b-v2")
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)
- Downloads last month
- 16
Inference Providers
NEW
This model isn't deployed by any Inference Provider.
๐
Ask for provider support
Model tree for mlx-community/Luni_StarDust-12b-v2
Base model
mistralai/Mistral-Nemo-Base-2407
Finetuned
Gryphe/Pantheon-RP-1.6-12b-Nemo
Finetuned
Luni/StarDust-12b-v2
Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard56.290
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard34.950
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard5.970
- acc_norm on GPQA (0-shot)Open LLM Leaderboard5.820
- acc_norm on MuSR (0-shot)Open LLM Leaderboard14.260
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard27.100