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BinomialTechnologies

binomial-shannon-2

Can I run binomial-shannon-2 on my computer?

It depends on your memory, processor, file format and runtime. Hugging Bay offers 4 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.

binomial-shannon-2 is an open-weights language model for text classification. 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: fcebafc4b9629d3316ed0d08fd17fdc0fe4fa4055f28ab16d5cd8b25b0931534. 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 .

BinomialTechnologies/binomial-shannon-2
Model details
text classificationLicense: apache-2.0SHA-256 recorded for 4 of 8 filessafetensors

Content controls: not assessed.

The catalog lists this model for sorting text into categories. Catalog sources: license, cardMetadata.license, task, cardMetadata.pipelineTag.

4 hosted of 8 listed

Hashes recorded. Date not recorded.

FileGrößeSHA-256QuelleHerunterladen
Weights
model.safetensors Default647.6 MB
fcebafc4…b0931534fcebafc4b9629d3316ed0d08fd17fdc0fe4fa4055f28ab16d5cd8b25b0931534
HostedHerunterladen
Tokenizer & config
config.json2.83 KB
e5ff8866…3d45c0dee5ff88662cfaaa7618c2eccb4ce6e94331b768ebff965a02f348fded3d45c0de
HostedHerunterladen
configuration_shannon2.py2.72 KB—Upstream onlyFile metadata
modeling_shannon2.py8.28 KB—Upstream onlyFile metadata
tokenizer_config.json380 bytes
fb54f027…23a2c016fb54f027372062b2ca52282efb04d178a8b57167a00cd8f4e816515823a2c016
HostedHerunterladen
tokenizer.json3.58 MB
6c8aaa9a…c3c08d306c8aaa9a542084f2457eab775d4eeb51f92a70c0fd9de28d5edb0ddec3c08d30
HostedHerunterladen
Docs
.gitattributes1.52 KB—Upstream onlyFile metadata
README.md5.63 KB—Upstream onlyFile metadata

Einen Download prüfen

In the folder where you saved model.safetensors, run:

macOS
shasum -a 256 -- 'model.safetensors'
Linux
sha256sum -- 'model.safetensors'
Windows
Get-FileHash -LiteralPath 'model.safetensors' -Algorithm SHA256

Compare the result with the recorded SHA-256.