Model benchmarks
unsloth/GLM-4.7-Flash-GGUF:UD-IQ3_XXS local LLM performance
As of October 2026, unsloth/GLM-4.7-Flash-GGUF:UD-IQ3_XXS runs at up to 60.5 tok/s for local inference (best of 2 community benchmark runs across 1 GPU).
Model size
30B
Peak speed
60.5 tok/s
Average speed
59.8 tok/s
Avg PP
762.7 tok/s
Min memory
13.3 GB
Max context
32,768 tokens
Avg output / run
17,863 tokens
Avg runtime / run
5m 16s
Avg quality
64.5
Benchmark runs
2
GPUs tested
1
Quality by task
Average LLM-judged quality (0–100) with the run-to-run spread shown as a P5–P95 band, overall and for each benchmark task, across all 2 runs. The low and high columns show how much the judge’s score varies between runs, and need at least two runs to display.
| Task | P5 (low) | Avg | P95 (high) |
|---|---|---|---|
| Overall | 61.6 | 64.5 | 67.5 |
| Agent Workflow | 39.6 | 60.6 | 81.5 |
| Code Generation | 64.7 | 64.9 | 65.0 |
| Role Play & Narrative | 60.0 | 70.9 | 81.7 |
| Research & Analysis | 60.3 | 61.9 | 63.5 |
Performance by hardware and tool
Every hardware/tool/quantization combination unsloth/GLM-4.7-Flash-GGUF:UD-IQ3_XXS has been benchmarked on, ranked by peak token generation speed. Last updated October 2026.
| Hardware | Tool | Quant | Best tok/s | Avg tok/s | Memory | Context | Quality | Runs |
|---|---|---|---|---|---|---|---|---|
| AMD Radeon RX 9070/9070 XT/9070 GRE | llama.cpp | — | 60.5 tok/s | 59.8 tok/s | 13.3 GB | 32,768 tokens | 64.5 | 2 |
Benchmark runs
All 2 unsloth/GLM-4.7-Flash-GGUF:UD-IQ3_XXS runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.
Frequently asked questions
- Is unsloth/GLM-4.7-Flash-GGUF:UD-IQ3_XXS good for coding?
- In our benchmarks, unsloth/GLM-4.7-Flash-GGUF:UD-IQ3_XXS scores 64.9/100 for coding. It runs at about 59.8 tok/s, so if you want more speed, Nex-N2.5-mini-IQ3_XXS is faster (~91.2 tok/s) and still scores well for coding (81.9/100).
- Is unsloth/GLM-4.7-Flash-GGUF:UD-IQ3_XXS good for agentic (tool-using) tasks?
- In our benchmarks, unsloth/GLM-4.7-Flash-GGUF:UD-IQ3_XXS scores 60.6/100 for agentic workflows. It runs at about 59.8 tok/s, so if you want more speed, Nex-N2.5-mini-APEX-Mini is faster (~88.2 tok/s) and still scores well for agentic workflows (91.3/100).
- How fast is unsloth/GLM-4.7-Flash-GGUF:UD-IQ3_XXS for local inference?
- Across 2 community benchmark runs, unsloth/GLM-4.7-Flash-GGUF:UD-IQ3_XXS reaches up to 60.5 tok/s and averages 59.8 tok/s, with the fastest results on AMD Radeon RX 9070/9070 XT/9070 GRE.
- How much memory does unsloth/GLM-4.7-Flash-GGUF:UD-IQ3_XXS need?
- The leanest observed configuration used about 13.3 GB of memory.
- Which tools have been used to run unsloth/GLM-4.7-Flash-GGUF:UD-IQ3_XXS?
- Benchmarks were submitted using llama.cpp. Results are community-contributed and updated as new runs arrive.