Model benchmarks
IsValorum/Occamy-1.0-APEX-I-MiniPlus-V2.1-Abliterated-GGUF:ABLITERATED local LLM performance
As of October 2026, IsValorum/Occamy-1.0-APEX-I-MiniPlus-V2.1-Abliterated-GGUF:ABLITERATED runs at up to 21.7 tok/s for local inference (best of 2 community benchmark runs across 1 GPU).
Model size
35B
Peak speed
21.7 tok/s
Average speed
19.4 tok/s
Avg PP
138.5 tok/s
Min memory
n/a
Max context
65,536 tokens
Avg output / run
24,239 tokens
Avg runtime / run
26m 28s
Avg quality
80.9
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 | 80.1 | 80.9 | 81.8 |
| Agent Workflow | 80.0 | 80.4 | 80.7 |
| Code Generation | 72.7 | 73.6 | 74.5 |
| Role Play & Narrative | 82.9 | 86.9 | 90.9 |
| Research & Analysis | 82.1 | 82.8 | 83.4 |
Performance by hardware and tool
Every hardware/tool/quantization combination IsValorum/Occamy-1.0-APEX-I-MiniPlus-V2.1-Abliterated-GGUF:ABLITERATED 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 2060 | llama.cpp | — | 21.7 tok/s | 19.4 tok/s | n/a | 65,536 tokens | 80.9 | 2 |
Benchmark runs
All 2 IsValorum/Occamy-1.0-APEX-I-MiniPlus-V2.1-Abliterated-GGUF:ABLITERATED runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.
Frequently asked questions
- Is IsValorum/Occamy-1.0-APEX-I-MiniPlus-V2.1-Abliterated-GGUF:ABLITERATED good for coding?
- In our benchmarks, IsValorum/Occamy-1.0-APEX-I-MiniPlus-V2.1-Abliterated-GGUF:ABLITERATED scores 73.6/100 for coding. It runs at about 19.4 tok/s, so if you want more speed, IsValorum/Nex-N2.5-mini-APEX-I-MiniPlus-V2.1-GGUF:1 is faster (~25.7 tok/s) and still scores well for coding (85.0/100).
- Is IsValorum/Occamy-1.0-APEX-I-MiniPlus-V2.1-Abliterated-GGUF:ABLITERATED good for agentic (tool-using) tasks?
- In our benchmarks, IsValorum/Occamy-1.0-APEX-I-MiniPlus-V2.1-Abliterated-GGUF:ABLITERATED scores 80.4/100 for agentic workflows. It runs at about 19.4 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 IsValorum/Occamy-1.0-APEX-I-MiniPlus-V2.1-Abliterated-GGUF:ABLITERATED for local inference?
- Across 2 community benchmark runs, IsValorum/Occamy-1.0-APEX-I-MiniPlus-V2.1-Abliterated-GGUF:ABLITERATED reaches up to 21.7 tok/s and averages 19.4 tok/s, with the fastest results on NVIDIA GeForce RTX 2060.
- Which tools have been used to run IsValorum/Occamy-1.0-APEX-I-MiniPlus-V2.1-Abliterated-GGUF:ABLITERATED?
- Benchmarks were submitted using llama.cpp. Results are community-contributed and updated as new runs arrive.