# RefalMachine/RuadaptQwen3-4B-Instruct

Model from Hugging Face for llm: RefalMachine/RuadaptQwen3-4B-Instruct · unknown

## Facts

- Type: LLM
- Task: general
- Framework: unknown
- License: apache-2.0 — Permissive open license: commercial use, modification, and redistribution are permitted. (https://spdx.org/licenses/Apache-2.0.html)
- Source: https://huggingface.co/RefalMachine/RuadaptQwen3-4B-Instruct
- Hosting: hosted (12 files)
- Files: 12 hosted of 13 listed
- File counts: "listed" is every file in the source repository; only hosted files download from Hugging Bay, and the download plan lists the files it selects for one download, so its count can differ.
- Hosted here: at least 12 listed files; full count and size unknown
- Full repo upstream: 8.03 GB
- Parameters: 4B
- Download: https://huggingbay.xyz/artifact/hf-model-refalmachine-ruadaptqwen3-4b-instruct/files (download plan: https://huggingbay.xyz/api/artifacts/hf-model-refalmachine-ruadaptqwen3-4b-instruct/download-plan)
- Per-file SHA-256: available for 11 of 12 hosted files via https://huggingbay.xyz/api/artifacts/hf-model-refalmachine-ruadaptqwen3-4b-instruct/files?limit=100
- Run-ready: no (Hugging Bay has not certified a run path for this model; hosted bytes are downloadable and hash-checkable only)
- Peer-assisted fallbacks: 0 verified, 0 pending review
- Downloads: 423
- Stars: 13
- Card completeness: 91%

## Description

External Hugging Face catalog record for RefalMachine/RuadaptQwen3-4B-Instruct. Library: unknown. Languages: ru, en. Datasets referenced by card metadata: dichspace/darulm, HuggingFaceFW/fineweb-2, RefalMachine/ruadapt_instruct_2507. Popularity signal at import: 1,245 downloads and 13 likes.

## Model Card Facts

- Declared license: apache-2.0
- Pipeline: general
- Library: unknown
- Task categories: general
- Languages: ru, en
- Referenced datasets: dichspace/darulm, HuggingFaceFW/fineweb-2, RefalMachine/ruadapt_instruct_2507
- File hints: 13 upstream file samples

## Referenced Data

- Dataset: dichspace/darulm
- Dataset: HuggingFaceFW/fineweb-2
- Dataset: RefalMachine/ruadapt_instruct_2507

## File Hints

- .gitattributes (1.5 KB)
- README.md (5.4 KB)
- added_tokens.json (1.3 KB)
- config.json (728 B)
- generation_config.json (165 B)
- merges.txt (2.2 MB)
- model-00001-of-00002.safetensors (4.6 GB) LFS
- model-00002-of-00002.safetensors (2.8 GB) LFS
- model.safetensors.index.json (32 KB)
- special_tokens_map.json (759 B)
- tokenizer.json (12 MB) LFS
- tokenizer_config.json (11 KB)

## Quality Checklist

- Summary: passed
- Description: passed
- Model card metadata: passed
- License: passed
- Provenance: passed
- File inventory: passed
- Hosted bytes: passed
- Scan result: passed
- Manifest signature: passed

## Safety Notes

- External catalog metadata imported from Hugging Face public API on 2026-08-30T03:32:39.339Z.
- Open license detected as apache-2.0.
- Model card references dataset context: dichspace/darulm, HuggingFaceFW/fineweb-2, RefalMachine/ruadapt_instruct_2507.
- Not a run kit: hosted, hash-checked bytes only; run readiness is not certified for this model yet.

## Actions

- Web: https://huggingbay.xyz/artifact/hf-model-refalmachine-ruadaptqwen3-4b-instruct
- Files API: https://huggingbay.xyz/api/artifacts/hf-model-refalmachine-ruadaptqwen3-4b-instruct/files?limit=100
- Metadata: https://huggingbay.xyz/api/artifacts/hf-model-refalmachine-ruadaptqwen3-4b-instruct/metadata.json
- Distribution: https://huggingbay.xyz/api/artifacts/hf-model-refalmachine-ruadaptqwen3-4b-instruct/distribution
- Manifest: https://huggingbay.xyz/api/manifests/hf-model-refalmachine-ruadaptqwen3-4b-instruct
- Download plan (per-file SHA-256 + signed download URLs): https://huggingbay.xyz/api/artifacts/hf-model-refalmachine-ruadaptqwen3-4b-instruct/download-plan
- Hosted download rows: https://huggingbay.xyz/api/downloadable-files?artifactId=hf-model-refalmachine-ruadaptqwen3-4b-instruct&limit=100
- Request mirror: not applicable.
- Submit peer fallback for review: POST https://huggingbay.xyz/api/artifacts/hf-model-refalmachine-ruadaptqwen3-4b-instruct/decentralized-fallbacks