janboe91/Violet_Twilight-v0.2-Q8-mlx
The Model janboe91/Violet_Twilight-v0.2-Q8-mlx was converted to MLX format from Epiculous/Violet_Twilight-v0.2 using mlx-lm version 0.21.5.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("janboe91/Violet_Twilight-v0.2-Q8-mlx")
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 janboe91/Violet_Twilight-v0.2-Q8-mlx
Base model
Epiculous/Violet_Twilight-v0.2Datasets used to train janboe91/Violet_Twilight-v0.2-Q8-mlx
Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard45.320
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard23.940
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard2.720
- acc_norm on GPQA (0-shot)Open LLM Leaderboard2.130
- acc_norm on MuSR (0-shot)Open LLM Leaderboard13.610
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard23.450