Model benchmarks
Tiel-Coder-35B-A3B-MTP-UD-Q4_K_XL local LLM performance
As of September 2026, Tiel-Coder-35B-A3B-MTP-UD-Q4_K_XL runs at up to 38.8 tok/s for local inference (best of 3 community benchmark runs across 1 GPU).
Model size
35B
Peak speed
38.8 tok/s
Average speed
38.5 tok/s
Avg PP
343.8 tok/s
Min memory
17.1 GB
Max context
65.536 tokens
Avg output / run
5.967 tokens
Avg runtime / run
2m 26s
Avg quality
63.4
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 | 56.1 | 63.4 | 72.5 |
| Agent Workflow | 57.4 | 74.5 | 86.1 |
| Code Generation | 67.2 | 73.7 | 83.2 |
| Role Play & Narrative | 23.1 | 35.8 | 57.2 |
| Research & Analysis | 66.6 | 69.6 | 74.4 |
Performance by hardware and tool
Every hardware/tool/quantization combination Tiel-Coder-35B-A3B-MTP-UD-Q4_K_XL 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 |
|---|---|---|---|---|---|---|---|---|
| Tesla P100-PCIE-16GB | llama.cpp | Q4_K | 38.8 tok/s | 38.5 tok/s | 17.1 GB | 65.536 tokens | 63.4 | 3 |
Benchmark runs
All 3 Tiel-Coder-35B-A3B-MTP-UD-Q4_K_XL runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.
Frequently asked questions
- Is Tiel-Coder-35B-A3B-MTP-UD-Q4_K_XL good for coding?
- In our benchmarks, Tiel-Coder-35B-A3B-MTP-UD-Q4_K_XL scores 73.7/100 for coding. It runs at about 38.5 tok/s, so if you want more speed, unsloth/Qwen3.8-27B-GGUF:IQ3_S is faster (~104.3 tok/s) and still scores well for coding (83.0/100).
- Is Tiel-Coder-35B-A3B-MTP-UD-Q4_K_XL good for agentic (tool-using) tasks?
- In our benchmarks, Tiel-Coder-35B-A3B-MTP-UD-Q4_K_XL scores 74.5/100 for agentic workflows. It runs at about 38.5 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 Tiel-Coder-35B-A3B-MTP-UD-Q4_K_XL for local inference?
- Across 3 community benchmark runs, Tiel-Coder-35B-A3B-MTP-UD-Q4_K_XL reaches up to 38.8 tok/s and averages 38.5 tok/s, with the fastest results on Tesla P100-PCIE-16GB.
- How much memory does Tiel-Coder-35B-A3B-MTP-UD-Q4_K_XL need?
- The leanest observed configuration used about 17.1 GB of memory (quantizations tested: Q4_K).
- Which tools have been used to run Tiel-Coder-35B-A3B-MTP-UD-Q4_K_XL?
- Benchmarks were submitted using llama.cpp. Results are community-contributed and updated as new runs arrive.