Model benchmarks
unsloth/Muse-Glimmer-30B-GGUF:UD-Q4_K_XL local LLM performance
As of October 2026, unsloth/Muse-Glimmer-30B-GGUF:UD-Q4_K_XL runs at up to 68.1 tok/s for local inference (best of 2 community benchmark runs across 2 GPUs).
Model size
30B
Peak speed
68.1 tok/s
Average speed
51.2 tok/s
Avg PP
595.2 tok/s
Min memory
723.2 GB
Max context
65,536 tokens
Avg output / run
13,826 tokens
Avg runtime / run
5m 18s
Avg quality
82.0
Benchmark runs
2
GPUs tested
2
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 | 81.9 | 82.0 | 82.1 |
| Agent Workflow | 86.7 | 87.0 | 87.4 |
| Code Generation | 73.5 | 75.4 | 77.2 |
| Role Play & Narrative | 81.2 | 81.7 | 82.2 |
| Research & Analysis | 82.1 | 84.1 | 86.1 |
Performance by hardware and tool
Every hardware/tool/quantization combination unsloth/Muse-Glimmer-30B-GGUF:UD-Q4_K_XL 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 |
|---|---|---|---|---|---|---|---|---|
| NVIDIA GeForce RTX 3080 Ti | llama.cpp | Q4_K | 68.1 tok/s | 68.1 tok/s | n/a | 65,536 tokens | 81.9 | 1 |
| Advanced Micro Devices, Inc. [AMD/ATI] Device 7551 | llama.cpp | Q4_K | 34.3 tok/s | 34.3 tok/s | 723.2 GB | 65,536 tokens | 82.2 | 1 |
Benchmark runs
All 2 unsloth/Muse-Glimmer-30B-GGUF:UD-Q4_K_XL runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.
Frequently asked questions
- Is unsloth/Muse-Glimmer-30B-GGUF:UD-Q4_K_XL good for coding?
- In our benchmarks, unsloth/Muse-Glimmer-30B-GGUF:UD-Q4_K_XL scores 75.4/100 for coding. It runs at about 51.2 tok/s, so if you want more speed, local-qwen is faster (~60.2 tok/s) and still scores well for coding (84.8/100).
- Is unsloth/Muse-Glimmer-30B-GGUF:UD-Q4_K_XL good for agentic (tool-using) tasks?
- In our benchmarks, unsloth/Muse-Glimmer-30B-GGUF:UD-Q4_K_XL scores 87.0/100 for agentic workflows. It runs at about 51.2 tok/s, so if you want more speed, granite-4.2-8b-Q4_K_L is faster (~71.6 tok/s) and still scores well for agentic workflows (92.9/100).
- How fast is unsloth/Muse-Glimmer-30B-GGUF:UD-Q4_K_XL for local inference?
- Across 2 community benchmark runs, unsloth/Muse-Glimmer-30B-GGUF:UD-Q4_K_XL reaches up to 68.1 tok/s and averages 51.2 tok/s, with the fastest results on NVIDIA GeForce RTX 3080 Ti.
- How much memory does unsloth/Muse-Glimmer-30B-GGUF:UD-Q4_K_XL need?
- The leanest observed configuration used about 723.2 GB of memory (quantizations tested: Q4_K).
- Which tools have been used to run unsloth/Muse-Glimmer-30B-GGUF:UD-Q4_K_XL?
- Benchmarks were submitted using llama.cpp. Results are community-contributed and updated as new runs arrive.