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ssmits

Qwen2-7B-Instruct-embed-base

ssmits/Qwen2-7B-Instruct-embed-base
text classificationLicense: apache-2.0Hashes recordedsafetensors

Content controls: not assessed.

Model from Hugging Face for text classification: ssmits/Qwen2-7B-Instruct-embed-base · sentence transformers

क्या शामिल है

13 hosted of 14 listed

Weights
Tokenizer & config
README, LICENSE & .gitattributes

इस मॉडल के बारे में

External Hugging Face catalog record for ssmits/Qwen2-7B-Instruct-embed-base. Task: text classification. Library: sentence transformers. Languages: en. Popularity signal at import: 46,772 downloads and 5 likes.

ज़रूरी जानकारी

Parameters
7B
Hosted here
13 hosted of 14 listed
Full repo upstream
14.2 GB
Recommended file
14.1 GB (3 files)
Languages
en
Format
safetensors
Downloads on Hugging Face
82,804
File hashes
Hashes recorded. Date not recorded.

लाइसेंस और स्रोत

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 classification
Hosted here
13 files, 14.2 GB
Full repo upstream
14.2 GB
Recommended file
14.1 GB (3 files)
Parameters
7B
Files
13 hosted of 14 listed
Added to Hugging Bay
Updated at source

FAQ

What is this model?

ssmits/Qwen2-7B-Instruct-embed-base is an open-weights language model for text classification published by ssmits, added to Hugging Bay Jun 29, 2026. Model from Hugging Face for text classification: ssmits/Qwen2-7B-Instruct-embed-base · sentence 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?

ssmits/Qwen2-7B-Instruct-embed-base has 7B parameters. Hosted here: 13 files, 14.2 GB. Full repo upstream: 14.2 GB. The recommended download, a 3-file weight set, is 14.1 GB.

What can I download here?

Hosted here: 13 files, 14.2 GB. Full repo upstream: 14.2 GB. The original release is at https://huggingface.co/ssmits/Qwen2-7B-Instruct-embed-base.

File checks and computer fit
File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 13 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-ssmits-qwen2-7b-instruct-embed-base/safety on Hugging Bay.

Will ssmits/Qwen2-7B-Instruct-embed-base 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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