backpack-run/GLM-5.3-Flash-GGUF overview
GLM 5.3 Flash — Backpack GGUF GGUF quantizations of zai org/GLM 5.3 Flash https://huggingface.co/zai org/GLM 5.3 Flash , packaged for llama.cpp compatible imag…
Runs locally from ~1.05 GB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
Model Details
| Model ID | backpack-run/GLM-5.3-Flash-GGUF |
|---|---|
| Author | backpack-run |
| Pipeline | image-text-to-text |
| License | mit |
| Base model | zai-org/GLM-5.3-Flash |
| Last modified | 2026-09-06T13:37:46.000Z |
Model README
---
base_model: zai-org/GLM-5.3-Flash
license: mit
library_name: gguf
tags:
- gguf
- llama.cpp
- backpack
- multimodal
- image-text-to-text
---
GLM-5.3-Flash — Backpack GGUF
GGUF quantizations of zai-org/GLM-5.3-Flash, packaged for llama.cpp-compatible image-and-text inference and Backpack.
Model
| Property | Value |
| --- | --- |
| Original model | zai-org/GLM-5.3-Flash |
| Original publisher | zai-org |
| Upstream revision | 690b705278a3a58e538fcb37c2ca8b5f9511213c |
| Architecture | Glm5NextForConditionalGeneration |
| Parameters | 321,323,031,390 |
| Context length | Not declared |
| Input modalities | text, image |
| Output modalities | text |
| License | mit |
Available packages
| Quantization | Size | Approx. RAM | Recommended for |
| --- | ---: | ---: | --- |
| Q4_K_M | 180.5 GiB | 263.78 GB | Most users |
Memory values are estimates, not guarantees. Runtime configuration and context length change actual use.
Multimodal projector
| File | Precision | Size |
| --- | --- | ---: |
| GLM-5.3-Flash-mmproj-F16.gguf | F16 | 1.1 GiB |
The projector is required for image input and must be used with one of the language-model GGUF files above.
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-mtmd-cli --model GLM-5.3-Flash-Q4_K_M.gguf --mmproj GLM-5.3-Flash-mmproj-F16.gguf --image image.jpg --prompt "Describe this image."
Run with Backpack
These artifacts and backpack-model.yaml are prepared for the Backpack AI workspace.
Validation
Artifact integrity and GGUF metadata validation are the publication requirements. Runtime load,
inference, and tokenizer results are reported independently and do not imply a certification or
endorsement.
| Package | Integrity | Load | Inference | Tokenizer |
| --- | --- | --- | --- | --- |
| Q4_K_M | passed | failed | skipped | skipped |
Runtime execution validation has not completed successfully for every artifact. Treat the affected
package as experimental with the pinned toolchain until downstream runtime testing is complete.
- Packaged: 2026-09-06T07:07:13.528564+00:00
- llama.cpp toolchain revision:
8134115f88ed8018474e7db69afcfe97fb097fc4 - SHA-256 checksums: see
checksums.sha256
GLM-5.3-Flash-Q4_K_M.gguf:3e1f1720e869d98acd55a8f94b5efd78814a6ba0a2c2e4e609d637e9cca60406
GLM-5.3-Flash-mmproj-F16.gguf:f64a2e935c899224054258d2372d9ad4c19b760141044292fa6ee0fb5ff36624
Provenance
The source model was resolved to immutable revision 690b705278a3a58e538fcb37c2ca8b5f9511213c. It was converted with llama.cpp's convert_hf_to_gguf.py, including its multimodal projector, and quantized with llama-quantize; the exact toolchain revision is recorded above and in backpack-model.yaml.
License and attribution
Upstream declares mit. 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/GLM-5.3-Flash-GGUF with guIDE
Download guIDE — the AI-native code editor with local LLM inference and 69 built-in tools.
Source: Hugging Face · Compare models