ai-forever

Zarya 0.6B

Code

This receipt records checks for this exact file; it does not prove safety or that it will run on your device. Read the receipt

Model details
text generationLicense: mitNeeds its own code to runSHA-256 recorded for 6 of 13 filessafetensors
Quick answer: compatibility and sources

Can I run Zarya-0.6B on my computer?

It depends on your memory, processor, file format and runtime. A download is not confirmed by the current file evidence; inspect the file record before trying it. A file-size fit is an estimate, not a successful run or speed promise. Read the license before use.

Zarya-0.6B 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.safetensors: 5cfad56b84f3aee103815df5e7a45a0292b83418628f9cc8e3a6eff00611b060. 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.

Page text updated .

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-ai-forever-zarya-0-6b.
  • Open /artifact/hf-model-ai-forever-zarya-0-6b/files for exact filenames, availability and any recorded SHA-256 for this model.
  • Open /evidence/artifacts/hf-model-ai-forever-zarya-0-6b for run-readiness evidence tied to that record; absent receipts stay unmeasured.
  • Open /api/artifacts/hf-model-ai-forever-zarya-0-6b/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.

Requirements and source record

Try browser chat with a small demo model (a separate model; device support is checked before loading).

ai-forever/Zarya-0.6B

Content controls: not assessed.

The catalog lists this model for having conversations. Catalog sources: license, cardMetadata.license, tags, task, cardMetadata.pipelineTag.

Download availability is being checked.

Hashes recorded. Date not recorded.

FileTailleSHA-256SourceTélécharger
Weights
model.safetensors1.19 GB
5cfad56b…0611b0605cfad56b84f3aee103815df5e7a45a0292b83418628f9cc8e3a6eff00611b060
Download availability is being checked.File metadata
Tokenizer & config
chat_template.jinja4.17 KB
a55ee1b1…cf1974d8a55ee1b1660128b7098723e0abcd92caa0788061051c62d51cbe87d9cf1974d8
Download availability is being checked.File metadata
config.json2.21 KB
14ea8e6c…856afb4814ea8e6c3c4336060ed6dd496e7393cd03b000bc449ed2c81075f313856afb48
Download availability is being checked.File metadata
configuration.py4.7 KB—Download availability is being checked.File metadata
generation_config.json457 bytes
6831f743…901af9c26831f743b85f13d1de3b87fbb79a3d7f84cc26d8c1a1c3460fe2ddd6901af9c2
Download availability is being checked.File metadata
generation_utils.py1.17 KB—Download availability is being checked.File metadata
merges.txt1.67 MB—Download availability is being checked.File metadata
modeling.py124.5 KB—Download availability is being checked.File metadata
tokenizer.json11.4 MB
4c8165c0…442a31084c8165c070bd7b1eff751f9cd82acf52c4636e997f2df755d01f4eac442a3108
Download availability is being checked.File metadata
tokenizer_config.json10 KB
7e52ac71…0884f5627e52ac718c08b13378d37b0e0627435faf9586447227500ae0cb543d0884f562
Download availability is being checked.File metadata
vocab.json2.78 MB—Download availability is being checked.File metadata
Docs
.gitattributes1.57 KB—Download availability is being checked.File metadata
README.md28.1 KB—Download availability is being checked.File metadata

Vérifier un téléchargement

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.