Text Generation
MLX
Safetensors
English
small-language-model
from-scratch
conversational
apple-silicon
research
Instructions to use OpenSML/Solstice-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use OpenSML/Solstice-1 with MLX:
# Make sure mlx-lm is installed # pip install --upgrade mlx-lm # Generate text with mlx-lm from mlx_lm import load, generate model, tokenizer = load("OpenSML/Solstice-1") prompt = "Write a story about Einstein" messages = [{"role": "user", "content": prompt}] prompt = tokenizer.apply_chat_template( messages, add_generation_prompt=True ) text = generate(model, tokenizer, prompt=prompt, verbose=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- MLX LM
How to use OpenSML/Solstice-1 with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Interactive chat REPL mlx_lm.chat --model "OpenSML/Solstice-1"
Run an OpenAI-compatible server
# Install MLX LM uv tool install mlx-lm # Start the server mlx_lm.server --model "OpenSML/Solstice-1" # Calling the OpenAI-compatible server with curl curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "OpenSML/Solstice-1", "messages": [ {"role": "user", "content": "Hello"} ] }' - Atomic Chat
File size: 1,117 Bytes
7bcd331 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 | # Recorded inference examples
Greedy FP32, no system message, no repetition penalty. Reproduced in the clean release environment. These include a factual error so that successful loading is not confused with correctness.
## knowledge-00
**User:** What is the capital of Japan? Give a short answer.
**Generated answer:** Tokyo
Stop: `turn_end`. Saved answer matcher: `True`.
## knowledge-01
**User:** Which planet is closest to the Sun? Give a short answer.
**Generated answer:** venus
Stop: `turn_end`. Saved answer matcher: `False`.
## reading-00
**User:** Use only the information below. Give a short answer.
Anika brought a teal notebook. Greta brought a black notebook.
What color was Anika’s notebook?
**Generated answer:** teal
Stop: `turn_end`. Saved answer matcher: `True`.
## conversation-00
**User:** My reservation number is 217.
**Assistant:** Understood.
**User:** Correction: my reservation number is 317.
**Assistant:** Understood.
**User:** What is my current reservation number? Give only the number.
**Generated answer:** 317
Stop: `turn_end`. Saved answer matcher: `True`.
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