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
- 5
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
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