metadata
datasets:
- prometheus-eval/Feedback-Collection
- prometheus-eval/Preference-Collection
language:
- en
library_name: transformers
license: apache-2.0
metrics:
- pearsonr
- spearmanr
- kendall-tau
- accuracy
pipeline_tag: text2text-generation
tags:
- text2text-generation
- mlx
mlx-community/prometheus-7b-v2.0-8bit
The Model mlx-community/prometheus-7b-v2.0-8bit was converted to MLX format from prometheus-eval/prometheus-7b-v2.0 using mlx-lm version 0.15.2.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/prometheus-7b-v2.0-8bit")
response = generate(model, tokenizer, prompt="hello", verbose=True)