mlx-community/Dolphin3.0-Llama3.1-8B-MLX-6bit
This model mlx-community/Dolphin3.0-Llama3.1-8B-MLX-6bit was converted to MLX format from dphn/Dolphin3.0-Llama3.1-8B using mlx-lm version 0.31.0.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/Dolphin3.0-Llama3.1-8B-MLX-6bit")
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
8B params
Tensor type
BF16
·
U32 ·
Hardware compatibility
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6-bit
Model tree for mlx-community/Dolphin3.0-Llama3.1-8B-MLX-6bit
Datasets used to train mlx-community/Dolphin3.0-Llama3.1-8B-MLX-6bit
Evaluation results
- averaged accuracy on IFEval (0-Shot)Open LLM Leaderboard76.210
- normalized accuracy on BBH (3-Shot)test set Open LLM Leaderboard27.630
- exact match on MATH Lvl 5 (4-Shot)test set Open LLM Leaderboard10.500
- acc_norm on GPQA (0-shot)Open LLM Leaderboard4.360
- acc_norm on MuSR (0-shot)Open LLM Leaderboard8.970
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard22.130