Oysiyl

qwen3-1.7b-unslop-good-lora-v1

Chat

A chat model for conversations, questions and writing.

On Hugging Bay
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Model details
Chat & writeLicense label: apache-2.0SHA-256 recorded for 7 of 9 filessafetensors
Quick answer: compatibility and sources

Can I run qwen3-1.7b-unslop-good-lora-v1 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.

qwen3-1.7b-unslop-good-lora-v1 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: f77a7e8dc99ae63c614ecb41cd3ab972dd71d73080354948ad10269406da47c3. 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-oysiyl-qwen3-1-7b-unslop-good-lora-v1.
  • Open /artifact/hf-model-oysiyl-qwen3-1-7b-unslop-good-lora-v1/files for exact filenames, availability and any recorded SHA-256 for this model.
  • Open /evidence/artifacts/hf-model-oysiyl-qwen3-1-7b-unslop-good-lora-v1 for run-readiness evidence tied to that record; absent receipts stay unmeasured.
  • Open /api/artifacts/hf-model-oysiyl-qwen3-1-7b-unslop-good-lora-v1/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).

Oysiyl/qwen3-1.7b-unslop-good-lora-v1

Content controls: not assessed.

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

Download availability is being checked.

Hashes recorded. Date not recorded.

FileTailleSHA-256SourceTélécharger
Weights
model.safetensors3.44 GB
f77a7e8d…06da47c3f77a7e8dc99ae63c614ecb41cd3ab972dd71d73080354948ad10269406da47c3
Download availability is being checked.File metadata
Tokenizer & config
chat_template.jinja4.67 KB
96fd16d3…8d82784d96fd16d36fb085260f9eb1e717b2c4e6e8b9e75a5e6504f66c8d6b128d82784d
Download availability is being checked.File metadata
config.json726 bytes
1ddb5b89…71d951971ddb5b89ebc90dcb417a45c213d818577e65976454d29385c8f6140771d95197
Download availability is being checked.File metadata
generation_config.json239 bytes
2325da0f…4cb993d22325da0f15bb848e018c5ae071b7943332e9f871d6b60e2ed22ca97d4cb993d2
Download availability is being checked.File metadata
tokenizer.json11.4 MB
d7430e91…91040ccad7430e9138b76e93fb6f93462394d236b411111aef53cb421ba97d2691040cca
Download availability is being checked.File metadata
tokenizer_config.json374 bytes
c239a38a…2a32043fc239a38a57335882f6d987e52b3b5918e5da0ac28fdce46098ed04442a32043f
Download availability is being checked.File metadata
training_loss_vs_progress.png33.6 KB—Download availability is being checked.File metadata
Docs
.gitattributes1.57 KB—Download availability is being checked.File metadata
README.md4.25 KB
2afd55c1…ecdc47b22afd55c15b2e7c849c2932b157556bd0004c7f52fecbda31ad133f47ecdc47b2
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.