Text Generation
MLX
Safetensors
English
base-model
pretrained
small-language-model
apple-silicon
from-scratch
research
Instructions to use OpenSML/OpenSML-Base-175M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use OpenSML/OpenSML-Base-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("OpenSML/OpenSML-Base-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 OpenSML/OpenSML-Base-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 "OpenSML/OpenSML-Base-175M" --prompt "Once upon a time"
- Atomic Chat
|
Download THIRD_PARTY_NOTICES.md from OpenSML/OpenSML-Base-175M: direct link, hf CLI and curl.
- Browser
- Download file 1.37 kB
-
https://huggingface.co/OpenSML/OpenSML-Base-175M/resolve/main/THIRD_PARTY_NOTICES.md
- Command line
-
hf download hf://OpenSML/OpenSML-Base-175M/THIRD_PARTY_NOTICES.md
-
curl -L -o THIRD_PARTY_NOTICES.md https://huggingface.co/OpenSML/OpenSML-Base-175M/resolve/main/THIRD_PARTY_NOTICES.md
1.37 kB
| # Source and dataset notices | |
| Author-controlled source contributions use the included Apache-2.0 license. | |
| The model-weight license remains unassigned; this source license does not make | |
| an additional weight-license grant. Installed dependencies retain their own | |
| terms: MLX (MIT), NumPy (BSD-3-Clause), Tokenizers (Apache-2.0). | |
| Pretraining corpus declarations, revisions and filters are in `corpus.json`: | |
| | Source | Recorded source declaration | | |
| | --- | --- | | |
| | FineWeb-Edu through SmolLM corpus | ODC-BY; underlying content notices retained | | |
| | DCLM-Edu | CC-BY-4.0 | | |
| | English FineWiki | CC-BY-SA-4.0 / GFDL | | |
| | Cosmopedia v2 through SmolLM corpus | ODC-BY; synthetic-data provenance retained | | |
| | Python text mirror | Mirror metadata ODC-BY; original code remains subject to upstream repository licenses and The Stack v2 terms | | |
| The pinned Python mirror card was unavailable during the preceding report audit; | |
| its declaration is taken from the recorded local corpus specification, not a | |
| newly completed audit of underlying content. Dataset declarations are not | |
| blanket redistribution permission for all contained source documents or model | |
| weights. This package redistributes no raw pretraining documents. It includes | |
| own qualitative prompts/generations and aggregate historical validation results. | |
| No SQuAD, Dolly or SNIPS SFT is included in this base checkpoint. | |