Instructions to use Meanblock/JEV-CPU with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Meanblock/JEV-CPU with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="Meanblock/JEV-CPU")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Meanblock/JEV-CPU", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download manifests/mlx-validation.json from Meanblock/JEV-CPU: direct link, hf CLI and curl.
- Browser
- Download file 1.4 kB
-
https://huggingface.co/Meanblock/JEV-CPU/resolve/main/manifests/mlx-validation.json
- Command line
-
hf download hf://Meanblock/JEV-CPU/manifests/mlx-validation.json
-
curl -L -o mlx-validation.json https://huggingface.co/Meanblock/JEV-CPU/resolve/main/manifests/mlx-validation.json
1.4 kB
| { | |
| "version": "mlx-validation-v1", | |
| "reference": "Qwen/Qwen3.5-4B@851bf6e806efd8d0a36b00ddf55e13ccb7b8cd0a", | |
| "runtime": { | |
| "mlx": "0.32.2", | |
| "mlx-lm": "0.31.3" | |
| }, | |
| "exact_contracts": [ | |
| "prompt text", | |
| "input token IDs", | |
| "answer token IDs", | |
| "decision IDs", | |
| "option IDs", | |
| "finite normalized probabilities", | |
| "complete fixture coverage" | |
| ], | |
| "tiny_fp32_cache_probability_atol": 0.0001, | |
| "bf16_probability_difference_review_threshold": 0.05, | |
| "bf16_policy": "Report every changed choice. Investigate differences above the review threshold; it is a diagnostic trigger, not an accuracy or calibration guarantee. Do not require bit-identical CUDA and Metal outputs.", | |
| "pilot": "results/mlx/2026-09-17-bf16-pilot/diagnostic.json", | |
| "pilot_observation": "Seven decisions: no changed choices, at most 0.030491 probability movement after prefix splitting, and exactly unchanged shared scores after reversing row order.", | |
| "quantization_policy": "Evaluate 8-bit and 4-bit separately against the unquantized MLX baseline. Never assume calibration or preserve CUDA claims by changing tolerances.", | |
| "production_runtime": { | |
| "mlx": "0.32.2", | |
| "mlx-lm": "0.32.0", | |
| "mlx_lm_commit": "a63e24c389382619eb6d9af656e3b46024be217a" | |
| }, | |
| "runtime_note": "Original pilot used 0.31.3. Production pins the upstream Qwen L2 epsilon fix; tolerances are unchanged." | |
| } | |