hmellor

tiny random DeepseekV2ForCausalLM

Text generation

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: unknownSHA-256 recorded for 6 of 8 filessafetensors
Quick answer: compatibility and sources

Can I run tiny-random-DeepseekV2ForCausalLM 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.

tiny-random-DeepseekV2ForCausalLM 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: 652d9531e43e7cf8338120cbe4ca21948b0bc8585eaa80e5b990a21c95fbddd3. 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-hmellor-tiny-random-deepseekv2forcausallm.
  • Open /artifact/hf-model-hmellor-tiny-random-deepseekv2forcausallm/files for this exact filenames, availability and any recorded SHA-256.
  • Open /evidence/artifacts/hf-model-hmellor-tiny-random-deepseekv2forcausallm for run-readiness evidence tied to that record; absent receipts stay unmeasured.
  • Open /api/artifacts/hf-model-hmellor-tiny-random-deepseekv2forcausallm/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).

hmellor/tiny-random-DeepseekV2ForCausalLM

Content controls: not assessed.

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

Download availability is being checked.

Hashes recorded. Date not recorded.

FileआकारSHA-256स्रोतडाउनलोड करें
Weights
model.safetensors119.6 MB
652d9531…95fbddd3652d9531e43e7cf8338120cbe4ca21948b0bc8585eaa80e5b990a21c95fbddd3
Download availability is being checked.File metadata
Tokenizer & config
chat_template.jinja459 bytes
8aeba567…21b0ae8e8aeba567270fa9a8d5372caf4b04affea947c4421d96adc01e3ff94021b0ae8e
Download availability is being checked.File metadata
config.json1.38 KB
6eb188a4…fcae7bd16eb188a4ea243c630a30a007aeff50d2eb9412f0ec8c75c71aafa1dafcae7bd1
Download availability is being checked.File metadata
generation_config.json210 bytes
b64226ac…a8fc24a7b64226ac250b11303384d55ec0627cf580dcfce906e254409d37b802a8fc24a7
Download availability is being checked.File metadata
tokenizer.json7.5 MB
e024e0db…c0a16e19e024e0dbbe21b9094445310145671931c8cbb44a9d8e150f917a96fbc0a16e19
Download availability is being checked.File metadata
tokenizer_config.json396 bytes
2e3c7732…62d544fb2e3c773222c64869196bf073b2cbf4ec694b709a13b600c59161022962d544fb
Download availability is being checked.File metadata
Docs
.gitattributes1.52 KB—Download availability is being checked.File metadata
README.md1.62 KB—Download availability is being checked.File metadata

डाउनलोड की जाँच करें

In the folder where you saved chat_template.jinja, run:

macOS
shasum -a 256 -- 'chat_template.jinja'
Linux
sha256sum -- 'chat_template.jinja'
Windows
Get-FileHash -LiteralPath 'chat_template.jinja' -Algorithm SHA256

Compare the result with the recorded SHA-256.