Text Generation
MLX
Safetensors
English
information-extraction
structured-output
json
small-language-model
apple-silicon
from-scratch
post-training
research
Instructions to use wzebrowski/OpenSML-JSONLite-175M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use wzebrowski/OpenSML-JSONLite-175M with MLX:
# Make sure mlx-lm is installed # pip install --upgrade mlx-lm # if on a CUDA device, also pip install mlx[cuda] # Generate text with mlx-lm from mlx_lm import load, generate model, tokenizer = load("wzebrowski/OpenSML-JSONLite-175M") prompt = "Once upon a time in" text = generate(model, tokenizer, prompt=prompt, verbose=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- MLX LM
How to use wzebrowski/OpenSML-JSONLite-175M with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "wzebrowski/OpenSML-JSONLite-175M" --prompt "Once upon a time"
- Atomic Chat
Download PACKAGING_VERIFICATION.json from wzebrowski/OpenSML-JSONLite-175M: direct link, hf CLI and curl.
- Browser
- Download file 936 Bytes
-
https://huggingface.co/wzebrowski/OpenSML-JSONLite-175M/resolve/main/PACKAGING_VERIFICATION.json
- Command line
-
hf download hf://wzebrowski/OpenSML-JSONLite-175M/PACKAGING_VERIFICATION.json
-
curl -L -o PACKAGING_VERIFICATION.json https://huggingface.co/wzebrowski/OpenSML-JSONLite-175M/resolve/main/PACKAGING_VERIFICATION.json
936 Bytes
| { | |
| "model": "OpenSML-JSONLite-175M-Instruct", | |
| "date": "2026-10-20", | |
| "checkpoint": "main", | |
| "weight_file": "model.safetensors", | |
| "weight_bytes": 351242342, | |
| "weight_sha256": "25b406a7b86e3e8ac4dd0b7f32e27590d9d11349a0148a7815c32304150ac725", | |
| "native_bundle_sha256": "8f5a075f63e1ff8857af3ddd916afc57742e614b1da5cbbe15452e9c84e94d2a", | |
| "source_snapshot_files": 418, | |
| "runtime": "stock MLX 0.32.3; Apple Silicon; Python 3.11", | |
| "requests": 1504, | |
| "raw_runtime_matches": 1504, | |
| "playground60": { | |
| "requests": 60, | |
| "raw_text_token_stop_matches": 60, | |
| "mismatches": [], | |
| "complete_correct": 49, | |
| "schema_valid": 60 | |
| }, | |
| "original1444": { | |
| "requests": 1444, | |
| "raw_text_token_stop_matches": 1444, | |
| "mismatches": [], | |
| "complete_correct": 1293, | |
| "schema_valid": 1443 | |
| }, | |
| "json_assembly": false, | |
| "output_repair": false, | |
| "constrained_decoding": false, | |
| "tokenizer_root_matches_bundle": true | |
| } | |