README.md

metadata

library_name: transformers
metrics:
  - code_eval
tags:
  - code
  - mlx
model-index:
  - name: WizardCoder
    results:
      - task:
          type: text-generation
        dataset:
          name: HumanEval
          type: openai_humaneval
        metrics:
          - type: pass@1
            value: 0.799
            name: pass@1
            verified: false

ipetrukha/WizardCoder-33B-V1.1-4bit

The Model ipetrukha/WizardCoder-33B-V1.1-4bit was converted to MLX format from WizardLMTeam/WizardCoder-33B-V1.1 using mlx-lm version 0.16.1.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("ipetrukha/WizardCoder-33B-V1.1-4bit")
response = generate(model, tokenizer, prompt="hello", verbose=True)