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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)