Model benchmarks

Cyber-Tiel-Coder-35B-A3B-MTP-UD-Q5_K_XL local LLM performance

As of September 2026, Cyber-Tiel-Coder-35B-A3B-MTP-UD-Q5_K_XL runs at up to 54.8 tok/s for local inference (best of 3 community benchmark runs across 0 GPUs).

llama.cppQ5_K
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Model size

35B

Peak speed

54.8 tok/s

Average speed

53.9 tok/s

Avg PP

1554.5 tok/s

Min memory

n/a

Max context

100,000 tokens

Avg output / run

29,583 tokens

Avg runtime / run

8m 50s

Avg quality

84.5

Benchmark runs

3

GPUs tested

0

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.

TaskP5 (low)AvgP95 (high)
Overall83.584.585.2
Agent Workflow82.786.089.9
Code Generation77.580.682.7
Role Play & Narrative82.884.887.2
Research & Analysis84.086.888.4

Performance by hardware and tool

Every hardware/tool/quantization combination Cyber-Tiel-Coder-35B-A3B-MTP-UD-Q5_K_XL has been benchmarked on, ranked by peak token generation speed. Last updated September 2026.

HardwareToolQuantBest tok/sAvg tok/sMemoryContextQualityRuns
CPU onlyllama.cppQ5_K54.8 tok/s53.9 tok/sn/a100,000 tokens84.53

Benchmark runs

All 3 Cyber-Tiel-Coder-35B-A3B-MTP-UD-Q5_K_XL runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.

Frequently asked questions

Is Cyber-Tiel-Coder-35B-A3B-MTP-UD-Q5_K_XL good for coding?
In our benchmarks, Cyber-Tiel-Coder-35B-A3B-MTP-UD-Q5_K_XL scores 80.6/100 for coding. It runs at about 53.9 tok/s, so if you want more speed, ornith-ai/Ornith-1.5-35B-A3B-GGUF is faster (~96.3 tok/s) and still scores well for coding (83.4/100).
Is Cyber-Tiel-Coder-35B-A3B-MTP-UD-Q5_K_XL good for agentic (tool-using) tasks?
In our benchmarks, Cyber-Tiel-Coder-35B-A3B-MTP-UD-Q5_K_XL scores 86.0/100 for agentic workflows. It runs at about 53.9 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 Cyber-Tiel-Coder-35B-A3B-MTP-UD-Q5_K_XL for local inference?
Across 3 community benchmark runs, Cyber-Tiel-Coder-35B-A3B-MTP-UD-Q5_K_XL reaches up to 54.8 tok/s and averages 53.9 tok/s.
Which tools have been used to run Cyber-Tiel-Coder-35B-A3B-MTP-UD-Q5_K_XL?
Benchmarks were submitted using llama.cpp. Results are community-contributed and updated as new runs arrive.