Ling-Coder-lite
inclusionAI/Ling-Coder-liteContent controls: not assessed.
Listed for working with code; for developers building coding tools. Metadata confidence: medium.
O que está incluído
10 hosted of 15 listed
Sobre este modelo
External Hugging Face catalog record for inclusionAI/Ling-Coder-lite. Task: text generation. Library: transformers. Languages: en, zh. Datasets referenced by card metadata: inclusionAI/Ling-Coder-SFT, inclusionAI/Ling-Coder-SyntheticQA, inclusionAI/Ling-Coder-DPO. Popularity signal at import: 157 downloads and 53 likes.
Informações básicas
- Hosted here
- 10 hosted of 15 listed
- Full repo upstream
- 33.6 GB
- Languages
- en, zh
- Format
- safetensors
- Downloads on Hugging Face
- 33
- File hashes
- Hashes recorded. Date not recorded.
Licença e origem
License: mit
Check the license text and keep the required notices when you use or share the files.
Upstream source →- Task
- text generation
- Hosted here
- at least 10 listed files; full count and size unknown
- Full repo upstream
- 33.6 GB
- Files
- 10 hosted of 15 listed
- Download
- Download here (10 hosted files)
- Added to Hugging Bay
- Updated at source
FAQ
What is this model?
inclusionAI/Ling-Coder-lite is an open-weights language model for text generation published by inclusionAI, added to Hugging Bay Jun 30, 2026. Model from Hugging Face for text generation: inclusionAI/Ling-Coder-lite · transformers
Can I use it commercially?
It is released under the mit license. Commercial use is allowed. Permissive open license: commercial use, modification, and redistribution are permitted.
How big is it?
Hosted here: at least 10 listed files; full count and size unknown. Full repo upstream: 33.6 GB.
What can I download here?
Hosted here: at least 10 listed files; full count and size unknown. Full repo upstream: 33.6 GB. The original release is at https://huggingface.co/inclusionAI/Ling-Coder-lite.
File checks and computer fit
File pattern scans
Automated file-pattern scans flagged nothing; not a safety guarantee. 10 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-inclusionai-ling-coder-lite/safety on Hugging Bay.
Will inclusionAI/Ling-Coder-lite run on my computer?
We can’t check the fit; we don’t know your machine. We don’t have your machine’s specs, so no check ran and no verdict is shown. Answer two quick questions and we’ll estimate, from the memory you tell us, whether it fits your machine. Or skip it; you can still download; fit isn’t checked.