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deepseek-ai

deepseek-coder-6.7b-instruct

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deepseek-ai/deepseek-coder-6.7b-instruct
Model details
text generationLicense: deepseek (custom terms)SHA-256 recorded for 10 of 13 filessafetensors · BIN

Content controls: not assessed.

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

Quick answer: compatibility and sources

Can I run deepseek-coder-6.7b-instruct on my computer?

It depends on your memory, processor, file format and runtime. Hugging Bay offers 8 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.

deepseek-coder-6.7b-instruct 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: ef55ffa04c8de3943c858cbcf7143b9803b3aa608337352ca5cd329f8a208bb6. 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-deepseek-ai-deepseek-coder-6-7b-instruct.
  • Open /artifact/hf-model-deepseek-ai-deepseek-coder-6-7b-instruct/files for this exact filenames, availability and any recorded SHA-256.
  • Open /evidence/artifacts/hf-model-deepseek-ai-deepseek-coder-6-7b-instruct for run-readiness evidence tied to that record; absent receipts stay unmeasured.
  • Open /api/artifacts/hf-model-deepseek-ai-deepseek-coder-6-7b-instruct/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.

8 hosted of 13 listed

Hashes recorded. Date not recorded.

FileTamañoSHA-256OrigenDescargar
Weights
model-00001-of-00002.safetensors9.98 GB
ef55ffa0…8a208bb6ef55ffa04c8de3943c858cbcf7143b9803b3aa608337352ca5cd329f8a208bb6
HostedDescargar
model-00002-of-00002.safetensors3.5 GB
d4d48eb2…9d5f5b2fd4d48eb2dce70933437b29d3f39b10a8820d629f936554209578e8119d5f5b2f
HostedDescargar
pytorch_model-00001-of-00002.bin9.98 GB
c2d75c41…a69bf603c2d75c419c6a86602710e347ac09bdc899299c1f1c6b06e542c7588ca69bf603
Upstream onlyFile metadata
pytorch_model-00002-of-00002.bin3.5 GB
7544ec56…46fad7be7544ec56f13952b201d7dc1e438093fc555b441bad520b1fb2e3a87b46fad7be
Upstream onlyFile metadata
Tokenizer & config
config.json760 bytes
a3a2ce1a…39cd73e4a3a2ce1a623b367d3799fb0c1e1ba12d5b8fa51a8e7abba14d10dd3739cd73e4
HostedDescargar
generation_config.json119 bytes
186a63b4…5c816002186a63b420f66a03e95a035c488373361bb04833a9b83f4bdbaba70c5c816002
HostedDescargar
model.safetensors.index.json25.1 KB
3eda4168…6b4d1c2a3eda4168654ae3a887a91b8e12f7d933913b4895166f6b72d6c6f71b6b4d1c2a
HostedDescargar
pytorch_model.bin.index.json23.9 KB—Upstream onlyFile metadata
tokenizer.json1.37 MB
ef48ebdc…b02ce141ef48ebdc8546c2d8092349d321f1d162de804a1c8900df2b615c7dc8b02ce141
HostedDescargar
tokenizer_config.json1.87 KB
775f116f…8d66b7b7775f116ff1130a5b5bfc3cfdb594f9fcb5a5dc61d5a11ba92b2a7c078d66b7b7
HostedDescargar
Docs
.gitattributes1.52 KB—Upstream onlyFile metadata
LICENSE13.8 KB
a3a0e944…da0bed0ea3a0e9449cb691a12f4de1d03725fd41326614fdeaf5d80b28c51187da0bed0e
HostedDescargar
README.md3.57 KB—Upstream onlyFile metadata

Comprobar una descarga

In the folder where you saved LICENSE, run:

macOS
shasum -a 256 -- 'LICENSE'
Linux
sha256sum -- 'LICENSE'
Windows
Get-FileHash -LiteralPath 'LICENSE' -Algorithm SHA256

Compare the result with the recorded SHA-256.

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