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Ahme1479

phi4-mini-python

Ahme1479/phi4-mini-python
text generationLicense: apache-2.0Hashes recordedsafetensors

Content controls: not assessed.

Model from Hugging Face for text generation: Ahme1479/phi4-mini-python · transformers

包含内容

9 hosted of 10 listed

Weights
Tokenizer & config
README, LICENSE & .gitattributes

关于此模型

External Hugging Face catalog record for Ahme1479/phi4-mini-python. Task: text generation. Library: transformers. Languages: en. Base model: unsloth/phi-4-mini-instruct-unsloth-bnb-4bit. Popularity signal at import: 6 downloads and 0 likes.

基本信息

Hosted here
9 hosted of 10 listed
Full repo upstream
7.69 GB
Recommended file
7.67 GB (2 files)
Languages
en
Format
safetensors
Downloads on Hugging Face
27
File hashes
Hashes recorded. Date not recorded.

许可证与来源

License: apache-2.0

Check the license text and keep the required notices when you use or share the files.

Upstream source →

See the JSON record →

Task
text generation
Hosted here
9 files, 7.69 GB
Full repo upstream
7.69 GB
Recommended file
7.67 GB (2 files)
Files
9 hosted of 10 listed
Added to Hugging Bay
Updated at source

FAQ

What is this model?

Ahme1479/phi4-mini-python is an open-weights language model for text generation published by Ahme1479, added to Hugging Bay Jun 30, 2026. Model from Hugging Face for text generation: Ahme1479/phi4-mini-python · transformers

Can I use it commercially?

It is released under the apache-2.0 license. Commercial use is allowed. Permissive open license: commercial use, modification, and redistribution are permitted.

How big is it?

Hosted here: 9 files, 7.69 GB. Full repo upstream: 7.69 GB. The recommended download, a 2-file weight set, is 7.67 GB.

What can I download here?

Hosted here: 9 files, 7.69 GB. Full repo upstream: 7.69 GB. The original release is at https://huggingface.co/Ahme1479/phi4-mini-python.

File checks and computer fit
File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 9 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-ahme1479-phi4-mini-python/safety on Hugging Bay.

Will Ahme1479/phi4-mini-python 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.

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