Text Generation
MLX
Safetensors
English
pretraining
from-scratch
small-language-model
post-training
silicon
Instructions to use OpenSML/OpenSML-150M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use OpenSML/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("OpenSML/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 OpenSML/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 "OpenSML/OpenSML-150M" --prompt "Once upon a time"
- Atomic Chat
File size: 1,549 Bytes
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"max_bytes": 200000,
"max_rows_per_source": 5000000,
"min_chars": 200,
"name": "sml-v2-educational-prose-v1",
"seed": 7337,
"shuffle_buffer": 10000,
"sources": [
{
"config": "fineweb-edu-dedup",
"label": "web",
"license": "ODC-BY; preserve underlying source notices",
"repo": "HuggingFaceTB/smollm-corpus",
"revision": "3ba9d605774198c5868892d7a8deda78031a781f",
"split": "train",
"text_field": "text",
"weight": 55
},
{
"label": "dclm",
"license": "CC-BY-4.0",
"min_score": {
"field": "edu_int_score",
"value": 3
},
"repo": "HuggingFaceTB/dclm-edu",
"revision": "dbad8ad71224482740cd9c9d353591adbf62fe04",
"split": "train",
"text_field": "text",
"weight": 25
},
{
"config": "en",
"label": "wiki",
"license": "CC-BY-SA-4.0 / GFDL",
"repo": "HuggingFaceFW/finewiki",
"revision": "8bd13e72e6a002407649b3e898535f42ceb1aeb9",
"split": "train",
"text_field": "text",
"weight": 10
},
{
"config": "cosmopedia-v2",
"format_contains": [
"textbook",
"tutorial",
"blog",
"educational"
],
"label": "cosmopedia",
"license": "ODC-BY; synthetic content; preserve provenance",
"repo": "HuggingFaceTB/smollm-corpus",
"revision": "3ba9d605774198c5868892d7a8deda78031a781f",
"split": "train",
"text_field": "text",
"weight": 10
}
],
"split_buckets": 10000
}
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