Model benchmarks
apodex_Apodex-1.1-mini-IQ2_M local LLM performance
As of October 2026, apodex_Apodex-1.1-mini-IQ2_M runs at up to 103.1 tok/s for local inference (best of 3 community benchmark runs across 1 GPU).
Model size
Unknown
Peak speed
103.1 tok/s
Average speed
97.4 tok/s
Avg PP
926.8 tok/s
Min memory
17.0 GB
Max context
262,144 tokens
Avg output / run
19,196 tokens
Avg runtime / run
3m 22s
Avg quality
70.1
Benchmark runs
3
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 3 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 | 63.1 | 70.1 | 79.1 |
| Agent Workflow | 54.5 | 67.9 | 82.8 |
| Code Generation | 55.2 | 64.2 | 70.4 |
| Role Play & Narrative | 69.7 | 75.9 | 84.8 |
| Research & Analysis | 62.8 | 72.4 | 81.5 |
Performance by hardware and tool
Every hardware/tool/quantization combination apodex_Apodex-1.1-mini-IQ2_M 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 5060 | llama.cpp | — | 103.1 tok/s | 97.4 tok/s | 17.0 GB | 262,144 tokens | 70.1 | 3 |
Benchmark runs
All 3 apodex_Apodex-1.1-mini-IQ2_M runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.
Frequently asked questions
- Is apodex_Apodex-1.1-mini-IQ2_M good for agentic (tool-using) tasks?
- In our benchmarks, apodex_Apodex-1.1-mini-IQ2_M scores 67.9/100 for agentic workflows. It runs at about 97.4 tok/s, so if you want more speed, cyber-tiel-coder-35b-a3b-mtp is faster (~115.9 tok/s) and still scores well for agentic workflows (86.4/100).
- How fast is apodex_Apodex-1.1-mini-IQ2_M for local inference?
- Across 3 community benchmark runs, apodex_Apodex-1.1-mini-IQ2_M reaches up to 103.1 tok/s and averages 97.4 tok/s, with the fastest results on NVIDIA GeForce RTX 5060.
- How much memory does apodex_Apodex-1.1-mini-IQ2_M need?
- The leanest observed configuration used about 17.0 GB of memory.
- Which tools have been used to run apodex_Apodex-1.1-mini-IQ2_M?
- Benchmarks were submitted using llama.cpp. Results are community-contributed and updated as new runs arrive.