Text Generation
Transformers
Safetensors
minspark
language-model
transformer
rope
gqa
custom_code
tiny
looped
slm
custom-architecture
custom-tokenizer
Instructions to use MinimaLabs/min-spark with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MinimaLabs/min-spark with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="MinimaLabs/min-spark", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("MinimaLabs/min-spark", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use MinimaLabs/min-spark with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "MinimaLabs/min-spark" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "MinimaLabs/min-spark", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/MinimaLabs/min-spark
- SGLang
How to use MinimaLabs/min-spark with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "MinimaLabs/min-spark" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "MinimaLabs/min-spark", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "MinimaLabs/min-spark" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "MinimaLabs/min-spark", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use MinimaLabs/min-spark with Docker Model Runner:
docker model run hf.co/MinimaLabs/min-spark
Commit History
-
remove hfviewer embed (refuses custom-code models); keep Hub frontmatter
Verified signature3e9b3ad -
scrub internal project references from record_deltas.py
Verified signaturedb0e600 -
scrub internal project references from run_lmeval.py
Verified signaturec257c53 -
scrub internal project references from generate.py
Verified signature495e2c4 -
scrub internal project references from configuration_minspark.py
Verified signaturee25b8ed -
scrub internal project references from modeling_minspark.py
Verified signature0392ab3 -
scrub internal project references from vendored model source
Verified signature91941e4 -
Update README.md
Verified signature7edbdc4 -
Update README.md
Verified signature8b8541c -
Upload README.md with huggingface_hub
Verified signaturefa90f27 -
Upload README.md with huggingface_hub
Verified signatured5f1c1a -
updated README.md and made the tone more clear (dont revert this change)
Verified signature50bff3f -
revert: restore original effort chart
Verified signature1c0c30b -
fix: center banner and refresh effort chart design
Verified signaturec72fed2 -
fix: center banner and refresh effort chart design
Verified signatureb03a006 -
fix: center banner and refresh effort chart design
Verified signature1810e50
-
Upload folder using huggingface_hub
Verified signature812e196 -
Upload folder using huggingface_hub
Verified signature76d443e -
Upload folder using huggingface_hub
Verified signature6509d52 -
Upload folder using huggingface_hub
Verified signaturec973df6 -
charts: effort comparison + best-score vs peers
Verified signature71bff9e -
model card: rewritten as proper release card (no internal names, prose benchmarks, KeyLM comparison, hfviewer arch embed)
Verified signature53cbb58 -
remove old architecture.svg + per-effort ppl charts (replaced by effort.svg + comparison.svg + hfviewer)
Verified signatureecea47d -
README: decode with skip_special_tokens=True (EOS prefix is a doc boundary, not user text)
Verified signaturebc19b2f -
remove dev tooling + staging notes from package (tests, make_charts, UPLOAD, ARCHITECTURE-VIEWER, pycache, benchmark_table.md)
Verified signatureadacba8 -
min-spark 1.0: Meiosis decay-p09 Transformers remote-code package
Verified signature054df1d -
initial commit
Verified signature1e8933d