Text Generation
MLX
Safetensors
English
pretraining
from-scratch
small-language-model
post-training
silicon
Instructions to use wzebrowski/OpenSML-150M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use wzebrowski/OpenSML-150M 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-150M") 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-150M 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-150M" --prompt "Once upon a time"
- Atomic Chat
Update TRIAL28_RESULTS.json
Browse files- TRIAL28_RESULTS.json +4 -2
TRIAL28_RESULTS.json
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{
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"checkpoint": "
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"bundle": "step_0000768_4980617cb301",
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"weight_sha256": "cbd3e3fb4ada74d7264371b79cee7598f513b7b950f1f141ef9f1a43bd2e1b4e",
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"parent_weight_sha256": "465ce42aad2e7c765f169aa75aa4124ec03fec17b46e6f5eabf75c2c4a8d4772",
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"selection.json": "50fca08ffe0fc3d0cd759ef4ec09509bb836ff92ea09932111db43edf78e7d9d",
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"source_pins.json": "11baf5a81fd28f9e2e114cc7e1c050172175745e168154d2004590925c4577e4",
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"retained_result.json": "20a585841d228c28310a4f26024debb6ef2f2d25ae044b95530d55353c795297"
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}
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}
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{
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"checkpoint": "OpenSML-150M",
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"bundle": "step_0000768_4980617cb301",
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"weight_sha256": "cbd3e3fb4ada74d7264371b79cee7598f513b7b950f1f141ef9f1a43bd2e1b4e",
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"parent_weight_sha256": "465ce42aad2e7c765f169aa75aa4124ec03fec17b46e6f5eabf75c2c4a8d4772",
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"selection.json": "50fca08ffe0fc3d0cd759ef4ec09509bb836ff92ea09932111db43edf78e7d9d",
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"source_pins.json": "11baf5a81fd28f9e2e114cc7e1c050172175745e168154d2004590925c4577e4",
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"retained_result.json": "20a585841d228c28310a4f26024debb6ef2f2d25ae044b95530d55353c795297"
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},
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"internal_experiment": "Trial 28 \u2014 Repair512 +256",
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"public_model_name": "OpenSML-150M"
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}
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