# bartowski/Qwen2.5-Coder-7B-Instruct-GGUF

Model from Hugging Face for text generation: bartowski/Qwen2.5-Coder-7B-Instruct-GGUF · transformers

## Facts

- Type: LLM
- Task: text-generation
- Framework: transformers
- 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/bartowski/Qwen2.5-Coder-7B-Instruct-GGUF
- Hosting: hosted (1 file)
- Files: 1 hosted of 27 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: 1 file, 4.68 GB
- Full repo upstream: 121.1 GB
- Recommended file: 4.68 GB (Q4_K_M) · Qwen2.5-Coder-7B-Instruct-Q4_K_M.gguf
- Parameters: 7B
- Download: https://huggingbay.xyz/artifact/hf-model-bartowski-qwen2-5-coder-7b-instruct-gguf/files (download plan: https://huggingbay.xyz/api/artifacts/hf-model-bartowski-qwen2-5-coder-7b-instruct-gguf/download-plan)
- Per-file SHA-256: available for 1 of 1 hosted file via https://huggingbay.xyz/api/artifacts/hf-model-bartowski-qwen2-5-coder-7b-instruct-gguf/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: 39572
- Stars: 72
- Card completeness: 96%

## Description

External Hugging Face catalog record for bartowski/Qwen2.5-Coder-7B-Instruct-GGUF. Task: text generation. Library: transformers. Languages: en. Base model: Qwen/Qwen2.5-Coder-7B-Instruct. Popularity signal at import: 49,740 downloads and 72 likes.

## Model Card Facts

- Declared license: apache-2.0
- Pipeline: text-generation
- Library: transformers
- Base model: Qwen/Qwen2.5-Coder-7B-Instruct
- Task categories: text-generation
- Languages: en
- File hints: 16 upstream file samples

## File Hints

- .gitattributes (3.3 KB)
- Qwen2.5-Coder-7B-Instruct-IQ2_M.gguf (2.6 GB) LFS
- Qwen2.5-Coder-7B-Instruct-IQ3_M.gguf (3.3 GB) LFS
- Qwen2.5-Coder-7B-Instruct-IQ3_XS.gguf (3.1 GB) LFS
- Qwen2.5-Coder-7B-Instruct-IQ4_XS.gguf (3.9 GB) LFS
- Qwen2.5-Coder-7B-Instruct-Q2_K.gguf (2.8 GB) LFS
- Qwen2.5-Coder-7B-Instruct-Q2_K_L.gguf (3.3 GB) LFS
- Qwen2.5-Coder-7B-Instruct-Q3_K_L.gguf (3.8 GB) LFS
- Qwen2.5-Coder-7B-Instruct-Q3_K_M.gguf (3.5 GB) LFS
- Qwen2.5-Coder-7B-Instruct-Q3_K_S.gguf (3.3 GB) LFS
- Qwen2.5-Coder-7B-Instruct-Q3_K_XL.gguf (4.3 GB) LFS
- Qwen2.5-Coder-7B-Instruct-Q4_0.gguf (4.1 GB) LFS

## 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 2026-09-15T15:11:02.184Z.
- Open license detected as apache-2.0.
- 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-bartowski-qwen2-5-coder-7b-instruct-gguf
- Files API: https://huggingbay.xyz/api/artifacts/hf-model-bartowski-qwen2-5-coder-7b-instruct-gguf/files?limit=100
- Metadata: https://huggingbay.xyz/api/artifacts/hf-model-bartowski-qwen2-5-coder-7b-instruct-gguf/metadata.json
- Distribution: https://huggingbay.xyz/api/artifacts/hf-model-bartowski-qwen2-5-coder-7b-instruct-gguf/distribution
- Manifest: https://huggingbay.xyz/api/manifests/hf-model-bartowski-qwen2-5-coder-7b-instruct-gguf
- Download plan (per-file SHA-256 + signed download URLs): https://huggingbay.xyz/api/artifacts/hf-model-bartowski-qwen2-5-coder-7b-instruct-gguf/download-plan
- Hosted download rows: https://huggingbay.xyz/api/downloadable-files?artifactId=hf-model-bartowski-qwen2-5-coder-7b-instruct-gguf&limit=100
- Request mirror: not applicable.
- Submit peer fallback for review: POST https://huggingbay.xyz/api/artifacts/hf-model-bartowski-qwen2-5-coder-7b-instruct-gguf/decentralized-fallbacks