GLM-5.3-Flash-GGUF
Unsloth Dynamic 3.0 achieves superior accuracy & outperforms other leading quants. To run, please use our llama.cpp PR or use the Unsloth Desktop app. You can now run GLM-5.3-Flash in our Unsloth Desktop UI. See below for 1-bit GLM-5.3-Flash (Low) run inside of Unsloth Desktop:
Params
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Context
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Downloads 30d
630 K
Likes
416
Download history
daily snapshots · 10 days630 K285 K
Sep 11Sep 14Sep 17Sep 20
Can you run it?
Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.
| File | Quant | Size | Est. VRAM | Verdict on RTX 4090 · 24 GB |
|---|---|---|---|---|
| GLM-5.3-Flash-UD-IQ3_XXS-00002-of-00004.gguf | IQ3_XXS | 49.3 GB | 54.7 GB | ❌ Won’t fit |
| GLM-5.3-Flash-UD-IQ1_S-00002-of-00003.gguf | IQ1_S | 49.6 GB | 55.1 GB | ❌ Won’t fit |
| GLM-5.3-Flash-UD-IQ2_XXS-00002-of-00004.gguf | IQ2_XXS | 49.9 GB | 55.4 GB | ❌ Won’t fit |
| GLM-5.3-Flash-UD-Q2_K_XL-00003-of-00004.gguf | Q2_K_XL | 49.9 GB | 55.4 GB | ❌ Won’t fit |
| GLM-5.3-Flash-BF16-00005-of-00014.gguf | GGUF | 50.0 GB | 55.5 GB | ❌ Won’t fit |
| GLM-5.3-Flash-Q8_0-00005-of-00008.gguf | Q8 | 50.0 GB | 55.5 GB | ❌ Won’t fit |
| GLM-5.3-Flash-UD-IQ1_M-00002-of-00003.gguf | IQ1_M | 50.0 GB | 55.5 GB | ❌ Won’t fit |
| GLM-5.3-Flash-UD-IQ4_XS-00002-of-00005.gguf | IQ4_XS | 50.0 GB | 55.5 GB | ❌ Won’t fit |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Run it
copy-paste, exact tags checked against the Hub$ ollama run glm-5-3-flash-gguf # pin the quantization explicitly $ ollama run glm-5-3-flash-gguf-gguf
$ huggingface-cli download unsloth/GLM-5.3-Flash-GGUF-GGUF \
GLM-5.3-Flash-BF16-00005-of-00014.gguf --local-dir .
$ llama-cli -m GLM-5.3-Flash-BF16-00005-of-00014.gguf \
-c 8192 -ngl 99 -t 8 --color
$ curl -s https://aimodelscomparison.com/api/v1/models/glm-5-3-flash-gguf
{
"hf_id": "unsloth/GLM-5.3-Flash-GGUF",
"params_b": null,
"context_length": null,
"license": { "id": "mit", "commercial": "yes" },
"downloads_30d": 629508,
"vram_estimates": [
{ "quant": "GGUF", "gb": 55.5 },
{ "quant": "Q8", "gb": 55.5 }
],
"updated_at": "2026-09-11T01:00:27Z"
}
Specifications
- Licence
- mit
- First seen on the Hub
- 2026-08-26
- Base model
- GLM-5.3-Flash
- Training datasets
- undisclosed
- Added to our catalog
- 2026-09-11
Family
Base model and the most-downloaded derivatives in the catalog.
Compare with any text-generation model
Appears in