Model benchmarks
IsValorum/Nex-N2.5-mini-APEX-I-MiniPlus-V2.1-GGUF local LLM performance
As of September 2026, IsValorum/Nex-N2.5-mini-APEX-I-MiniPlus-V2.1-GGUF runs at up to 135.9 tok/s for local inference (best of 2 community benchmark runs across 1 GPU).
Model size
Unknown
Peak speed
135.9 tok/s
Average speed
135.7 tok/s
Avg PP
1757.7 tok/s
Min memory
3.4 GB
Max context
65.536 tokens
Avg output / run
50.776 tokens
Avg runtime / run
6m 21s
Avg quality
84.2
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 | 83.7 | 84.2 | 84.8 |
| Agent Workflow | 82.7 | 84.5 | 86.3 |
| Code Generation | 80.6 | 82.1 | 83.6 |
| Role Play & Narrative | 84.4 | 87.2 | 90.0 |
| Research & Analysis | 82.7 | 83.0 | 83.4 |
Performance by hardware and tool
Every hardware/tool/quantization combination IsValorum/Nex-N2.5-mini-APEX-I-MiniPlus-V2.1-GGUF has been benchmarked on, ranked by peak token generation speed. Last updated September 2026.
| Hardware | Tool | Quant | Best tok/s | Avg tok/s | Memory | Context | Quality | Runs |
|---|---|---|---|---|---|---|---|---|
| AMD Radeon RX 7900 XT/7900 XTX/7900 GRE/7900M | llama.cpp | — | 135.9 tok/s | 135.7 tok/s | 3.4 GB | 65.536 tokens | 84.2 | 2 |
Benchmark runs
All 2 IsValorum/Nex-N2.5-mini-APEX-I-MiniPlus-V2.1-GGUF runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.
Frequently asked questions
- Is IsValorum/Nex-N2.5-mini-APEX-I-MiniPlus-V2.1-GGUF good for coding?
- In our benchmarks, IsValorum/Nex-N2.5-mini-APEX-I-MiniPlus-V2.1-GGUF scores 82.1/100 for coding. It runs at about 135.7 tok/s, so if you want more speed, Qwen3.6-35B-A3B-Q4_K_XL is faster (~156.9 tok/s) and still scores well for coding (82.2/100).
- Is IsValorum/Nex-N2.5-mini-APEX-I-MiniPlus-V2.1-GGUF good for agentic (tool-using) tasks?
- In our benchmarks, IsValorum/Nex-N2.5-mini-APEX-I-MiniPlus-V2.1-GGUF scores 84.5/100 for agentic workflows. It runs at about 135.7 tok/s, so if you want more speed, Tiel-Coder-35B-A3B-Q4_K_S is faster (~162.4 tok/s) and still scores well for agentic workflows (87.8/100).
- How fast is IsValorum/Nex-N2.5-mini-APEX-I-MiniPlus-V2.1-GGUF for local inference?
- Across 2 community benchmark runs, IsValorum/Nex-N2.5-mini-APEX-I-MiniPlus-V2.1-GGUF reaches up to 135.9 tok/s and averages 135.7 tok/s, with the fastest results on AMD Radeon RX 7900 XT/7900 XTX/7900 GRE/7900M.
- How much memory does IsValorum/Nex-N2.5-mini-APEX-I-MiniPlus-V2.1-GGUF need?
- The leanest observed configuration used about 3.4 GB of memory.
- Which tools have been used to run IsValorum/Nex-N2.5-mini-APEX-I-MiniPlus-V2.1-GGUF?
- Benchmarks were submitted using llama.cpp. Results are community-contributed and updated as new runs arrive.