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AI models that run on this device.

Two small chat models run in a computer’s browser here; every other model is a file you download.

nomic-ai

CodeRankLLM

nomic-ai/CodeRankLLM
Model details
generalLicense: mitSHA-256 recorded for 14 of 15 filessafetensors

Content controls: not assessed.

The catalog does not give enough information to describe what this model is for. Catalog sources: license, cardMetadata.license.

Quick answer: compatibility and sources

Can I run CodeRankLLM on my computer?

It depends on your memory, processor, file format and runtime. Hugging Bay offers 14 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.

CodeRankLLM is an open-weights language model for general. 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-00004.safetensors: 1d029756bc8accf165a615da759e55468b0e5e7ae35e7d80f4afe0b9ce105a10. 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-nomic-ai-coderankllm.
  • Open /artifact/hf-model-nomic-ai-coderankllm/files for this exact filenames, availability and any recorded SHA-256.
  • Open /evidence/artifacts/hf-model-nomic-ai-coderankllm for run-readiness evidence tied to that record; absent receipts stay unmeasured.
  • Open /api/artifacts/hf-model-nomic-ai-coderankllm/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.

14 hosted of 15 listed

Hashes recorded. Date not recorded.

File大小SHA-256来源下载
Weights
model-00001-of-00004.safetensors4.87 GB
1d029756…ce105a101d029756bc8accf165a615da759e55468b0e5e7ae35e7d80f4afe0b9ce105a10
Hosted下载
model-00002-of-00004.safetensors4.93 GB
71726813…61508e98717268132a5a30e34ab7ffdd5c48d8a3ac9b22ab6ffa4adc4c21e70561508e98
Hosted下载
model-00003-of-00004.safetensors4.33 GB
647ec69c…cbba0ef9647ec69c24045cd3887f3efc41f02b5b7c4862079edc7853c837bf05cbba0ef9
Hosted下载
model-00004-of-00004.safetensors1.09 GB
98cf3699…1636c1f598cf369901515e9c74e1829942b5b7765c6ced858179209b243618641636c1f5
Hosted下载
Tokenizer & config
added_tokens.json605 bytes
58b54bbe…1968060b58b54bbe36fc752f79a24a271ef66a0a0830054b4dfad94bde757d851968060b
Hosted下载
config.json714 bytes
0029c6a0…800b0bab0029c6a0505839cc85cde04d2dbb8c5c125d833ace7d1a9e8880be5a800b0bab
Hosted下载
generation_config.json242 bytes
84ac2065…be2c2f7984ac2065d654f0cdefcbdbeac7e8c0cfb41f965d8523698759cec680be2c2f79
Hosted下载
merges.txt1.67 MB
8831e4f1…08a904d58831e4f1a044471340f7c0a83d7bd71306a5b867e95fd870f74d0c5308a904d5
Hosted下载
model.safetensors.index.json27.8 KB
ee719520…5f91e8e4ee71952051124c48961ed74b7741a205d690eb0d61bad956a830af905f91e8e4
Hosted下载
special_tokens_map.json613 bytes
76862e76…dd3a1ecd76862e765266b85aa9459767e33cbaf13970f327a0e88d1c65846c2ddd3a1ecd
Hosted下载
tokenizer.json7.03 MB
d4d510f9…ca6faa52d4d510f994b81b6395a82e5a341211481ddfec9ecb1eef999db6fbebca6faa52
Hosted下载
tokenizer_config.json7.31 KB
7e88129d…951418e67e88129d9769a0b14b1587a7d5e829fe93ac0e1511636471fdfc0811951418e6
Hosted下载
vocab.json2.78 MB
ca10d7e9…b1440910ca10d7e9fb3ed18575dd1e277a2579c16d108e32f27439684afa0e10b1440910
Hosted下载
Docs
.gitattributes1.52 KB—Upstream onlyFile metadata
README.md1.93 KB
0a6684d3…266769e50a6684d3c564f1deb96d931cdb00a6fca40c3c4b34bc23f63ee327f0266769e5
Hosted下载

检查下载文件

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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