Model benchmarks
Muse-Glimmer-30B-Heretic_t1p95k64m05 local LLM performance
As of November 2026, Muse-Glimmer-30B-Heretic_t1p95k64m05 runs at up to 58.4 tok/s for local inference (best of 2 community benchmark runs across 1 GPU).
Model size
30B
Peak speed
58.4 tok/s
Average speed
52.3 tok/s
Avg PP
767.8 tok/s
Min memory
51.2 GB
Max context
32,768 tokens
Avg output / run
14,661 tokens
Avg runtime / run
4m 39s
Avg quality
78.4
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 | 76.8 | 78.4 | 80.1 |
| Agent Workflow | 82.8 | 85.4 | 88.1 |
| Code Generation | 67.9 | 69.4 | 71.0 |
| Role Play & Narrative | 73.4 | 77.3 | 81.2 |
| Research & Analysis | 80.0 | 81.4 | 82.9 |
Performance by hardware and tool
Every hardware/tool/quantization combination Muse-Glimmer-30B-Heretic_t1p95k64m05 has been benchmarked on, ranked by peak token generation speed. Last updated November 2026.
| Hardware | Tool | Quant | Best tok/s | Avg tok/s | Memory | Context | Quality | Runs |
|---|---|---|---|---|---|---|---|---|
| Tesla V100-PCIE-32GB | llama.cpp | — | 58.4 tok/s | 52.3 tok/s | 51.2 GB | 32,768 tokens | 78.4 | 2 |
Benchmark runs
All 2 Muse-Glimmer-30B-Heretic_t1p95k64m05 runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.
Frequently asked questions
- Is Muse-Glimmer-30B-Heretic_t1p95k64m05 good for coding?
- In our benchmarks, Muse-Glimmer-30B-Heretic_t1p95k64m05 scores 69.4/100 for coding. It runs at about 52.3 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 Muse-Glimmer-30B-Heretic_t1p95k64m05 good for agentic (tool-using) tasks?
- In our benchmarks, Muse-Glimmer-30B-Heretic_t1p95k64m05 scores 85.4/100 for agentic workflows. It runs at about 52.3 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 Muse-Glimmer-30B-Heretic_t1p95k64m05 for local inference?
- Across 2 community benchmark runs, Muse-Glimmer-30B-Heretic_t1p95k64m05 reaches up to 58.4 tok/s and averages 52.3 tok/s, with the fastest results on Tesla V100-PCIE-32GB.
- How much memory does Muse-Glimmer-30B-Heretic_t1p95k64m05 need?
- The leanest observed configuration used about 51.2 GB of memory.
- Which tools have been used to run Muse-Glimmer-30B-Heretic_t1p95k64m05?
- Benchmarks were submitted using llama.cpp. Results are community-contributed and updated as new runs arrive.