Model benchmarks

ornith-1.5-35b-a3b-rocmfp4 local LLM performance

As of October 2026, ornith-1.5-35b-a3b-rocmfp4 runs at up to 142.4 tok/s for local inference (best of 2 community benchmark runs across 1 GPU).

LM Studio
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Model size

35B

Peak speed

142.4 tok/s

Average speed

123.4 tok/s

Avg PP

1658.0 tok/s

Min memory

20.7 GB

Max context

80,000 tokens

Avg output / run

44,351 tokens

Avg runtime / run

9m 47s

Avg quality

62.4

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.

TaskP5 (low)AvgP95 (high)
Overall60.162.464.7
Agent Workflow74.879.183.3
Code Generation0.00.00.0
Role Play & Narrative81.586.290.9
Research & Analysis84.284.484.5

Performance by hardware and tool

Every hardware/tool/quantization combination ornith-1.5-35b-a3b-rocmfp4 has been benchmarked on, ranked by peak token generation speed. Last updated October 2026.

HardwareToolQuantBest tok/sAvg tok/sMemoryContextQualityRuns
AMD Radeon RX 7900 XTXLM Studio—142.4 tok/s123.4 tok/s20.7 GB80,000 tokens62.42

Benchmark runs

All 2 ornith-1.5-35b-a3b-rocmfp4 runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.

Frequently asked questions

How fast is ornith-1.5-35b-a3b-rocmfp4 for local inference?
Across 2 community benchmark runs, ornith-1.5-35b-a3b-rocmfp4 reaches up to 142.4 tok/s and averages 123.4 tok/s, with the fastest results on AMD Radeon RX 7900 XTX.
How much memory does ornith-1.5-35b-a3b-rocmfp4 need?
The leanest observed configuration used about 20.7 GB of memory.
Which tools have been used to run ornith-1.5-35b-a3b-rocmfp4?
Benchmarks were submitted using LM Studio. Results are community-contributed and updated as new runs arrive.