Model benchmarks
bartowski-Frontis-MA1-35B-Q4_K_L local LLM performance
As of October 2026, bartowski-Frontis-MA1-35B-Q4_K_L runs at up to 12.9 tok/s for local inference (best of 3 community benchmark runs across 1 GPU).
Model size
35B
Peak speed
12.9 tok/s
Average speed
12.8 tok/s
Avg PP
78.2 tok/s
Min memory
n/a
Max context
262,144 tokens
Avg output / run
15,924 tokens
Avg runtime / run
21m 39s
Avg quality
61.6
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 | 56.5 | 61.6 | 69.1 |
| Agent Workflow | 15.8 | 34.8 | 63.9 |
| Code Generation | 63.3 | 65.7 | 67.6 |
| Role Play & Narrative | 65.1 | 71.9 | 76.1 |
| Research & Analysis | 73.5 | 74.1 | 75.0 |
Performance by hardware and tool
Every hardware/tool/quantization combination bartowski-Frontis-MA1-35B-Q4_K_L 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 |
|---|---|---|---|---|---|---|---|---|
| Intel Graphics | llama.cpp | Q4_K | 12.9 tok/s | 12.8 tok/s | n/a | 262,144 tokens | 61.6 | 3 |
Benchmark runs
All 3 bartowski-Frontis-MA1-35B-Q4_K_L runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.
Frequently asked questions
- Is bartowski-Frontis-MA1-35B-Q4_K_L good for coding?
- In our benchmarks, bartowski-Frontis-MA1-35B-Q4_K_L scores 65.7/100 for coding. It runs at about 12.8 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 bartowski-Frontis-MA1-35B-Q4_K_L good for agentic (tool-using) tasks?
- In our benchmarks, bartowski-Frontis-MA1-35B-Q4_K_L scores 34.8/100 for agentic workflows. It runs at about 12.8 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 bartowski-Frontis-MA1-35B-Q4_K_L for local inference?
- Across 3 community benchmark runs, bartowski-Frontis-MA1-35B-Q4_K_L reaches up to 12.9 tok/s and averages 12.8 tok/s, with the fastest results on Intel Graphics.
- Which tools have been used to run bartowski-Frontis-MA1-35B-Q4_K_L?
- Benchmarks were submitted using llama.cpp. Results are community-contributed and updated as new runs arrive.