EleutherAI

pythia-70m-deduped

Text generation

Genera texto continuando una instrucción escrita.

On Hugging Bay
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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
Chat & writeLicense label: apache-2.0SHA-256 recorded for 8 of 9 filessafetensors · BIN
Quick answer: compatibility and sources

Can I run pythia-70m-deduped 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.

pythia-70m-deduped 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: 3da388330e4549156d76b58d6d268c63cd005e9336b4f4d2d378421e7b7a33fd. 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-eleutherai-pythia-70m-deduped.
  • Open /artifact/hf-model-eleutherai-pythia-70m-deduped/files for exact filenames, availability and any recorded SHA-256 for this model.
  • Open /evidence/artifacts/hf-model-eleutherai-pythia-70m-deduped for run-readiness evidence tied to that record; absent receipts stay unmeasured.
  • Open /api/artifacts/hf-model-eleutherai-pythia-70m-deduped/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).

EleutherAI/pythia-70m-deduped

Content controls: not assessed.

The catalog lists this model for generating text. Catalog sources: license, cardMetadata.license, task, cardMetadata.pipelineTag.

Download availability is being checked.

Hashes recorded. Date not recorded.

FileTamañoSHA-256OrigenDescargar
Weights
model.safetensors166 MB
3da38833…7b7a33fd3da388330e4549156d76b58d6d268c63cd005e9336b4f4d2d378421e7b7a33fd
Download availability is being checked.File metadata
pytorch_model.bin166 MB
a03394ba…6753f211a03394baafe51e4597b9c90fd5f1d80949da7697553608989fdb3dbe6753f211
Download availability is being checked.File metadata
Tokenizer & config
config.json567 bytes
00205023…d6ad9a43002050231a9b1ec3ac77aa6b9b3bbdc4d923f4068a7dd33b8da72a9bd6ad9a43
Download availability is being checked.File metadata
special_tokens_map.json99 bytes
6f50ab5a…5fdae7ad6f50ab5a5a509a1c309d6171f339b196a900dc9c99ad0408ff23bb615fdae7ad
Download availability is being checked.File metadata
tokenizer.json2.11 MB
c24618a1…c5f25624c24618a1b3e6a38167beff1c72cffd126c3a66254347304b50547d12c5f25624
Download availability is being checked.File metadata
tokenizer_config.json396 bytes
70e38394…b4066d3f70e38394e494931c6f773ba41e19460dd4436526b852207367f04341b4066d3f
Download availability is being checked.File metadata
Docs
.gitattributes1.48 KB
db7c0371…b8fae5a6db7c0371f46f0840b8f25794c1e3321c9b5820a8cb6ba9694a46fc64b8fae5a6
Download availability is being checked.File metadata
README.md13.7 KB
0b8eff9f…b8a375800b8eff9fd326d9089f00c4984db07f89a9dac674ae3191a9bc8ae128b8a37580
Download availability is being checked.File metadata

Comprobar una descarga

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.