sciembed-nodapt-ctx
Can I run sciembed-nodapt-ctx on my computer?
It depends on your memory, processor, file format and runtime. Hugging Bay offers 10 hosted files; check the file list for the exact selection. A file-size fit is an estimate, not a successful run or speed promise. Read the license before use.
sciembed-nodapt-ctx is an embedding model for text embeddings. Model weights are learned parameters; a runtime loads them. Hosting files does not prove that a complete model runs.
As of the availability check on .
Recorded SHA-256 for model.safetensors: 5da8eda437d5edf98e6885b53efc155158ccc06d81642c82b54e5a8286f63d8c. File evidence · Machine-readable facts · Run evidence and any recorded receipts · Proof Lab measurement policy. A checksum verifies byte identity, not safety; this answer asserts no measured runtime result.
Updated · Page text: As of · Content revision
Model metadata: As of at the model source. Popularity counters are source-reported, not measured by Hugging Bay. Availability checked .
anon-nlp/sciembed-nodapt-ctxमॉडल की जानकारी
sciembed-nodapt-ctx is an embedding model for text embeddings. The primary file is model.safetensors (596 MB). The primary file needs about 2 GB free for the selected file (file plus room to run it). License: MIT. The SHA-256 prefix is 5da8eda437d5. The primary Download is available now. No tested run commands for this file yet. See Files for current download availability. The size and hash details refer to the selected file, not every file in the repository. The memory figure is estimated from recorded file size with working room included.
क्या शामिल है
10 hosted of 11 listed
इस मॉडल के बारे में
External Hugging Face catalog record for anon-nlp/sciembed-nodapt-ctx. Popularity signal at import: 32 downloads and 0 likes.
ज़रूरी जानकारी
- Hosted here
- 10 hosted of 11 listed
- Full repo upstream
- unknown
- Recommended file
- 596.1 MB · model.safetensors
- Format
- safetensors
- File hashes
- Hashes recorded. Date not recorded.
लाइसेंस और स्रोत
License: mit
10 hosted of 11 listed
Check the license text and keep the required notices when you use or share the files.
Upstream source →- Task
- text embeddings
- Hosted here
- 10 files, 599.7 MB
- Full repo upstream
- unknown
- Recommended file
- 596.1 MB · model.safetensors
- Files
- 10 hosted of 11 listed
- Download
- Download here (10 hosted files)
- Added to Hugging Bay
- Updated at source
FAQ
What is this model?
anon-nlp/sciembed-nodapt-ctx is an embedding model for text embeddings published by anon-nlp, added to Hugging Bay Jun 30, 2026. Model from Hugging Face: anon-nlp/sciembed-nodapt-ctx
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: 10 files, 599.7 MB. The full repository size is not recorded. The recommended download, model.safetensors, is 596.1 MB.
What can I download here?
Hosted here: 10 files, 599.7 MB. Full repo upstream: unknown. The original release is at https://huggingface.co/anon-nlp/sciembed-nodapt-ctx.
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-anon-nlp-sciembed-nodapt-ctx/safety on Hugging Bay.
Will anon-nlp/sciembed-nodapt-ctx 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.