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
Commit History
2 days ago
-
Publish main JSONLite checkpoint and verified evaluation package
Verified signatureMain model weights, native inference package, one-SFT training lineage and evaluation evidence.319dca0
6 days ago
-
Update main model with joint JSON extraction SFT and verified results
Verified signature6debcfe
7 days ago
-
Update main checkpoint with focused extraction SFT and verified results
Verified signaturePublish the verified main JSONLite weights, native JSON runtime, four checked examples, complete training lineage and matched evaluation. Preserve the public model name and prior immutable release history.7a4a2b0
8 days ago
-
Replace JSONLite with native source-schema JSON model and verified SFT results
Verified signatureUpdate selected weights to the native JSON continuation; ship the matching raw-output runner, tokenizer/configuration, complete training lineage, SFT data/settings, held-out and playground results, examples, verification records and checksums. One whole-object generation with no fieldwise assembly or repair.96ec8c0 -
Add JSONLite model card and verified inference documentation
Verified signaturef8ffffe