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SaikatM

Code-Gemma-v1

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SaikatM/Code-Gemma-v1
Model details
text generationLicense: apache-2.0SHA-256 recorded for 10 of 11 filessafetensors

Content controls: not assessed.

The catalog lists this model for working with code. Catalog sources: license, cardMetadata.license, tags, task, cardMetadata.pipelineTag.

Quick answer: compatibility and sources

Can I run Code-Gemma-v1 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.

Code-Gemma-v1 is an open-weights language model for text generation. Model weights are learned parameters; a runtime loads them. A hosted file is an individual file Hugging Bay can serve. SHA-256 identifies exact file bytes. The availability date above applies to this file record, not the upstream metadata update date.

As of the recorded file availability check on .

Recorded SHA-256 for model-00001-of-00002.safetensors: 917f248ca1518e406e0dc6633be7f461446e5137542cd8b00881a48f5c927652. Exact file evidence · Machine-readable source facts · Run evidence and any recorded receipts. A checksum fingerprints only the named file bytes; it does not prove safety, quality, a complete multi-file selection or a successful run.

Updated · Page-copy source revision 8871bab84e1cf80aea1686a944ec335078a6c036 · Source files: apps/web/lib/model-page-template.mjs, apps/web/lib/model-page-v3.mjs, apps/web/lib/aeo-page.mjs · Full revision record

Model metadata: As of at the model source. Popularity counters are source-reported, not measured by Hugging Bay. Availability checked .

Key facts

Catalog record
Summarizes upstream metadata; it is not itself a download or run receipt.
File evidence
Lists exact filenames, availability and any recorded SHA-256 for individual files.
Run evidence
Reports measured results only when a receipt exists for named file bytes and a setup; otherwise unmeasured.
Checksum scope
SHA-256 fingerprints one file’s bytes; it does not prove safety, quality or a multi-file bundle.

Evidence you can inspect (plain text)

  • This page’s quick answer names the file record for hf-model-saikatm-code-gemma-v1.
  • Open /artifact/hf-model-saikatm-code-gemma-v1/files for this exact filenames, availability and any recorded SHA-256.
  • Open /evidence/artifacts/hf-model-saikatm-code-gemma-v1 for run-readiness evidence tied to that record; absent receipts stay unmeasured.
  • Open /api/artifacts/hf-model-saikatm-code-gemma-v1/card.md for machine-readable source facts (not a runtime test).
  • A matching checksum on this page fingerprints only the named bytes shown in file evidence.

Unmeasured states are stated explicitly; this page does not invent run scores or compatibility guarantees.

Which date applies to which fact

  • File availability check:
  • Committed page-copy sources:
  • Upstream model metadata: Dates on artifact records when shown; not implied by page-copy revision
  • Run receipts: Only on /evidence pages when recorded; otherwise unmeasured

Page-copy revision (Updated line above) identifies committed text sources, not upstream model edits or test outcomes.

10 hosted of 11 listed

Hashes recorded. Date not recorded.

FileआकारSHA-256स्रोतडाउनलोड करें
Weights
model-00001-of-00002.safetensors4.95 GB
917f248c…5c927652917f248ca1518e406e0dc6633be7f461446e5137542cd8b00881a48f5c927652
Hostedडाउनलोड करें
model-00002-of-00002.safetensors67.1 MB
cdfe38a9…65dfcc59cdfe38a9b55804dd7a85a02032a061c64b0af1ff16f187cdec731c9965dfcc59
Hostedडाउनलोड करें
Tokenizer & config
config.json688 bytes
129b9236…ce763afa129b9236e27357845a7f82166079d77cc11e14f3cd78048efb82417ace763afa
Hostedडाउनलोड करें
generation_config.json132 bytes
718f8d1d…ed21a9a3718f8d1d230ce37807103914999e6e5c5bfe03e1020f7048b1d0313fed21a9a3
Hostedडाउनलोड करें
model.safetensors.index.json13.5 KB
1b329486…cbf1a15a1b32948684e244670c6d7c9a9dc723bce5d4b2b34319879c9c1844a0cbf1a15a
Hostedडाउनलोड करें
special_tokens_map.json522 bytes
f3719b6d…ffa24b53f3719b6d3c201e2dc1ddfa18c167d04d66e9f67379ed1080d538cea3ffa24b53
Hostedडाउनलोड करें
tokenizer.json17.5 MB
cd1df914…87541de0cd1df914b205b134e52f15364524a919423b48c9056d725b45c5b89187541de0
Hostedडाउनलोड करें
tokenizer.model4.24 MB
61a7b147…e1d4c8e261a7b147390c64585d6c3543dd6fc636906c9af3865a5548f27f31aee1d4c8e2
Hostedडाउनलोड करें
tokenizer_config.json40 KB
3d3a1503…7b744f9f3d3a150314a3eec0f96082d47cdc8346e3ea8c6ad43d4f06596bf2987b744f9f
Hostedडाउनलोड करें
Docs
.gitattributes1.57 KB—Upstream onlyFile metadata
README.md3 KB
a5d6838b…fa233731a5d6838bae2be626e9f56db97a617e3188a8db724629ca1c162a5aeafa233731
Hostedडाउनलोड करें

डाउनलोड की जाँच करें

In the folder where you saved README.md, run:

macOS
shasum -a 256 -- 'README.md'
Linux
sha256sum -- 'README.md'
Windows
Get-FileHash -LiteralPath 'README.md' -Algorithm SHA256

Compare the result with the recorded SHA-256.

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