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…
Runs locally from ~379.4 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
Model Details
| Model ID | backpack-run/Qwen2.5-0.5B-Instruct-GGUF |
|---|---|
| Author | backpack-run |
| Pipeline | — |
| License | apache-2.0 |
| Base model | Qwen/Qwen2.5-0.5B-Instruct |
| Last modified | 2026-09-04T14:20:26.000Z |
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:f58616eebad692c29540d110551e0adb4d43c2456857dce7a74be369a3e035baQwen2.5-0.5B-Instruct-Q5_K_M.gguf:2dfb3fc4a087c12ba0f05825a7501bc4fe8060f32762622b917cbe6bccbbb128Qwen2.5-0.5B-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.
Run backpack-run/Qwen2.5-0.5B-Instruct-GGUF with guIDE
Download guIDE — the AI-native code editor with local LLM inference and 69 built-in tools.
Source: Hugging Face · Compare models