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Qwen2.5-0.5B-Instruct-GGUF
backpack-run/Qwen2.5-0.5B-Instruct-GGUF
Qwen2.5-0.5B-Instruct-GGUF is a machine learning model from backpack-run. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for gguf. The card lists the license as apache-2.0.
GGUF quantizations of Qwen/Qwen2.5-0.5B-Instruct, tested for llama.cpp-compatible text inference and packaged for Backpack.
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Repo size
1.3 GB
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.gguf1.3 GB · 100%
At a glance
- Library
- gguf
- License
- apache-2.0
- Access
- Public
- Created
- Aug 25, 2026
- Updated
- Sep 4, 2026
- SHA
- 0f21afbd
Base models
Model card
From the Hugging Face model README
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.
- Library
- gguf
- License
- apache-2.0
- Created
- Aug 25, 2026
- Updated
- Sep 4, 2026