Model benchmarks

unsloth/Muse-Glimmer-30B-GGUF:UD-IQ3_XXS local LLM performance

As of October 2026, unsloth/Muse-Glimmer-30B-GGUF:UD-IQ3_XXS runs at up to 37.7 tok/s for local inference (best of 5 community benchmark runs across 1 GPU).

llama.cpp
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Model size

30B

Peak speed

37.7 tok/s

Average speed

37.6 tok/s

Avg PP

507.9 tok/s

Min memory

13.0 GB

Max context

32,768 tokens

Avg output / run

15,175 tokens

Avg runtime / run

6m 52s

Avg quality

83.7

Benchmark runs

5

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 5 runs. The low and high columns show how much the judge’s score varies between runs, and need at least two runs to display.

TaskP5 (low)AvgP95 (high)
Overall80.783.787.6
Agent Workflow87.390.694.6
Code Generation61.669.080.2
Role Play & Narrative88.591.693.4
Research & Analysis77.683.489.1

Performance by hardware and tool

Every hardware/tool/quantization combination unsloth/Muse-Glimmer-30B-GGUF:UD-IQ3_XXS has been benchmarked on, ranked by peak token generation speed. Last updated October 2026.

HardwareToolQuantBest tok/sAvg tok/sMemoryContextQualityRuns
AMD Radeon RX 9070/9070 XT/9070 GREllama.cpp—37.7 tok/s37.6 tok/s13.0 GB32,768 tokens83.75

Benchmark runs

All 5 unsloth/Muse-Glimmer-30B-GGUF:UD-IQ3_XXS 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-IQ3_XXS good for coding?
In our benchmarks, unsloth/Muse-Glimmer-30B-GGUF:UD-IQ3_XXS scores 69.0/100 for coding. It runs at about 37.6 tok/s, so if you want more speed, K2-Horizon-MoVA-36B-A4B-MLX-4bit is faster (~48.5 tok/s) and still scores well for coding (82.5/100).
Is unsloth/Muse-Glimmer-30B-GGUF:UD-IQ3_XXS good for agentic (tool-using) tasks?
In our benchmarks, unsloth/Muse-Glimmer-30B-GGUF:UD-IQ3_XXS scores 90.6/100 for agentic workflows. It runs at about 37.6 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/Muse-Glimmer-30B-GGUF:UD-IQ3_XXS for local inference?
Across 5 community benchmark runs, unsloth/Muse-Glimmer-30B-GGUF:UD-IQ3_XXS reaches up to 37.7 tok/s and averages 37.6 tok/s, with the fastest results on AMD Radeon RX 9070/9070 XT/9070 GRE.
How much memory does unsloth/Muse-Glimmer-30B-GGUF:UD-IQ3_XXS need?
The leanest observed configuration used about 13.0 GB of memory.
Which tools have been used to run unsloth/Muse-Glimmer-30B-GGUF:UD-IQ3_XXS?
Benchmarks were submitted using llama.cpp. Results are community-contributed and updated as new runs arrive.