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
Download results/package_inference_verification.json from OpenSML/Solstice-1: direct link, hf CLI and curl.
- Browser
- Download file 26 kB
-
https://huggingface.co/OpenSML/Solstice-1/resolve/main/results/package_inference_verification.json
- Command line
-
hf download hf://OpenSML/Solstice-1/results/package_inference_verification.json
-
curl -L -o package_inference_verification.json https://huggingface.co/OpenSML/Solstice-1/resolve/main/results/package_inference_verification.json
26 kB
{
"passed": true,
"full_benchmark_rerun": false,
"weight_sha256": "7b2d8777040f05d8e0849acac4e45013b2de3d72145c363cd22825e80115c515",
"environment": {
"python": "3.11.13",
"macos": "27.0.1",
"machine": "arm64",
"mlx": "0.32.3",
"numpy": "2.4.2",
"tokenizers": "0.22.2"
},
"checks": [
"Tokenizer round trips and literal structural-token isolation",
"Explicit chat token boundaries",
"Invalid roles, empty messages and turn orders rejected",
"Output budget bounds and context overflow rejected",
"Non-finite and out-of-range temperatures rejected",
"Fixed-seed sampling is repeatable in this runtime"
],
"saved_response_comparisons": 27,
"matching_responses": 27,
"comparisons": [
{
"id": "knowledge-00",
"matches_saved_fp32": true,
"previous": {
"text": "Tokyo",
"tokens": 3,
"stop_reason": "turn_end"
},
"observed": {
"model": "Solstice-1",
"text": "Tokyo",
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55,
605,
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],
"prompt_tokens": 20,
"output_tokens": 3,
"stop_reason": "turn_end",
"seconds": 0.3210636670701206,
"protocol": {
"precision": "float32",
"attention": "vanilla",
"temperature": 0.0,
"seed": 2026,
"max_new_tokens": 128,
"repetition_penalty": 1,
"serialization": "explicit-ids-assistant-mask-v1",
"truncation": false
}
}
},
{
"id": "knowledge-01",
"matches_saved_fp32": true,
"previous": {
"text": "venus",
"tokens": 2,
"stop_reason": "turn_end"
},
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"text": "venus",
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],
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"output_tokens": 2,
"stop_reason": "turn_end",
"seconds": 0.02261858293786645,
"protocol": {
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"attention": "vanilla",
"temperature": 0.0,
"seed": 2026,
"max_new_tokens": 128,
"repetition_penalty": 1,
"serialization": "explicit-ids-assistant-mask-v1",
"truncation": false
}
}
},
{
"id": "knowledge-05",
"matches_saved_fp32": true,
"previous": {
"text": "Jane Austen",
"tokens": 4,
"stop_reason": "turn_end"
},
"observed": {
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"text": "Jane Austen",
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}
},
{
"id": "knowledge-15",
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"previous": {
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},
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}
}
},
{
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"previous": {
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},
{
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"previous": {
"text": "Tuesday",
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"text": "Tuesday",
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},
{
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"previous": {
"text": "maroon",
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"text": "maroon",
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{
"id": "reasoning-00",
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"text": "Thank you for your help. I hope you're well. I've been working on a project that involves using data visualization to help understand and interpret data. I'm looking for a way to visualize data in a way that's easy to understand and understand. I'm looking for a way to visualize data in a way that's easy to understand and understand. I'm looking for a way to visualize data in a way that's easy to understand and understand. I'm looking for a way to visualize data in a way that's easy to understand and understand. I'm looking for a way to visualize data in a way that's easy to understand and understand.",
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