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backpack-run/Qwen2.5-0.5B-Instruct-GGUF overview

Qwen2.5 0.5B Instruct — Backpack GGUF GGUF quantizations of Qwen/Qwen2.5 0.5B Instruct https://huggingface.co/Qwen/Qwen2.5 0.5B Instruct , tested for llama.cpp…

ggufllama.cppbackpackbase_model:Qwen/Qwen2.5-0.5B-Instructbase_model:quantized:Qwen/Qwen2.5-0.5B-Instructlicense:apache-2.0endpoints_compatibleregion:usconversational

Runs locally from ~379.4 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).

Downloads
722
Likes
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Pipeline

Repository Files & Downloads

3 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
Qwen2.5-0.5B-Instruct-Q4_K_M.ggufGGUFQ4_K_M379.4 MBDownload
Qwen2.5-0.5B-Instruct-Q5_K_M.ggufGGUFQ5_K_M400.6 MBDownload
Qwen2.5-0.5B-Instruct-Q8_0.ggufGGUFQ8_0506.5 MBDownload

Model Details

Model IDbackpack-run/Qwen2.5-0.5B-Instruct-GGUF
Authorbackpack-run
Pipeline
Licenseapache-2.0
Base modelQwen/Qwen2.5-0.5B-Instruct
Last modified2026-09-04T14:20:26.000Z

Model README

---

base_model: Qwen/Qwen2.5-0.5B-Instruct

license: apache-2.0

library_name: gguf

tags:

- gguf

- llama.cpp

- backpack

---

Qwen2.5-0.5B-Instruct — Backpack GGUF

GGUF quantizations of Qwen/Qwen2.5-0.5B-Instruct, tested for llama.cpp-compatible text inference and packaged for Backpack.

Model

| Property | Value |

| --- | --- |

| Original model | Qwen/Qwen2.5-0.5B-Instruct |

| Original publisher | Qwen |

| Upstream revision | 7ae557604adf67be50417f59c2c2f167def9a775 |

| Architecture | Qwen2ForCausalLM |

| Parameters | 494,032,768 |

| Context length | 32,768 |

| Input modalities | text |

| Output modalities | text |

| License | apache-2.0 |

Available packages

| Quantization | Size | Approx. RAM | Recommended for |

| --- | ---: | ---: | --- |

| Q4_K_M | 379.4 MiB | 1.54 GB | Most users |

| Q5_K_M | 400.6 MiB | 1.57 GB | Higher quality |

| Q8_0 | 506.5 MiB | 1.72 GB | Plenty of memory |

Memory values are estimates, not guarantees. Runtime configuration and context length change actual use.

Backpack recommendation

Recommended: Q4_K_M. It usually offers a practical quality, size, and speed balance for local inference.

Run with llama.cpp

Using the llama.cpp revision recorded below:

llama-cli --model Qwen2.5-0.5B-Instruct-Q4_K_M.gguf --conversation

Run with Backpack

These artifacts and backpack-model.yaml are prepared for the Backpack AI workspace.

Validation

| Package | Integrity | Load | Inference | Tokenizer |

| --- | --- | --- | --- | --- |

| Q4_K_M | passed | passed | passed | passed |

| Q5_K_M | passed | passed | passed | passed |

| Q8_0 | passed | passed | passed | passed |

  • Packaged: 2026-08-25T20:09:53.257172+00:00
  • llama.cpp revision: de699957b92f490efebad149665b0dccf127eaff
  • SHA-256 checksums: see checksums.sha256
  • Qwen2.5-0.5B-Instruct-Q4_K_M.gguf: f58616eebad692c29540d110551e0adb4d43c2456857dce7a74be369a3e035ba
  • Qwen2.5-0.5B-Instruct-Q5_K_M.gguf: 2dfb3fc4a087c12ba0f05825a7501bc4fe8060f32762622b917cbe6bccbbb128
  • Qwen2.5-0.5B-Instruct-Q8_0.gguf: 4c110cbf4f201deda239f2c2863e98b535f52f1040f5cf070ed2544ffed37fa2

Provenance

The source model was resolved to immutable revision 7ae557604adf67be50417f59c2c2f167def9a775. It was converted with llama.cpp's convert_hf_to_gguf.py and quantized with llama-quantize; the exact tested revision is recorded above and in backpack-model.yaml.

License and attribution

Upstream declares apache-2.0. Review the upstream model card and comply with all applicable terms.

Backpack does not claim ownership of the original model. These artifacts are packaged and quantized distributions of the upstream model.

Disclaimer

Quantization can alter output quality. Memory estimates vary with runtime configuration, context length, and hardware.

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