llm workload · 1 runs on record

Ornith 1.0 35B (Q4_K_M)

DeepReinforce Ornith 1.0 35B (35B), Q4_K_M GGUF, batch 1, 4K context, measured on RTX 5090.

Primary metric: Tokens / sec (tok/s)

Reference prompts

Representative prompts for this workload. Exact prompts and harness settings still depend on the cited source for each record.

Prompt 1
A train leaves station A at 9:00 going 60 mph. Another leaves station B (180 miles away) at 9:30 going 80 mph toward A. When do they meet? Show your work.
Prompt 2
If a 70B-parameter model uses ~140GB at FP16, what is its likely memory footprint at Q4_K_M? Show the arithmetic.
Prompt 3
Walk through which of these is cheaper for 10M tokens/day at 30 days: H100 cloud at $2/hr vs RTX 4090 owned at $1600 + $0.10/kWh.
Prompt 4
Explain step-by-step why FP8 inference can be 2x faster than FP16 on H100 but not on A100.
Prompt 5
Given a 4-bit quantized Llama 3 70B model at ~40GB, how much VRAM headroom is needed for KV cache at 8K context, batch 1?

Reference runtime command

A representative invocation for reproducing this workload class. Source-specific runs may use adjacent runtimes unless the record says otherwise.

shell

OLLAMA_NUM_PARALLEL=1 ollama run ornith-35b --verbose   # num_ctx 4096, batch 1

DeepReinforce Ornith 1.0 35B (35B) via Ollama 0.32.1, Q4_K_M GGUF, batch 1, 4K context, measured on RTX 5090 (Vast.ai). Throughput reported as the median Ollama eval rate.

Full leaderboard

Every record for Ornith 1.0 35B.

Top 10 leaderboard

Ornith 1.0 35B (Q4_K_M) · sorted by tokens / sec

1 entries

Full leaderboard

Click any row for detailed breakdown. Click column headers to sort.

	#	Device	Verif							Buy
	1	NVIDIA GeForce RTX 5090 32GBConsumer GPU NVIDIA·Q4_K_M·4K ctx	8	175tok/s	32 GB	575 W	$2.0k	0.30 tok/s/W	$0.12/M	Amazon

Sorted by Tokens / sec (high → low)Tip: $/1k tok is a 3-year amortization of MSRP at sustained throughput.

Cite this benchmark

Use this in your paper, blog post, or comparison table.

BibTeX

@misc{myaihardware_ornith-35b-q4_2026,
  title  = {MyAI Bench: Ornith 1.0 35B (Q4_K_M)},
  author = {{MyAIHardware Contributors}},
  year   = {2026},
  url    = {https://www.myaihardware.com/benchmarks/workload/ornith-35b-q4},
  note   = {Version 1.3, accessed 2026-08-30}
}

APA

MyAIHardware Contributors. (2026). MyAI Bench: Ornith 1.0 35B (Q4_K_M). MyAIHardware. Retrieved 2026-08-30, from https://www.myaihardware.com/benchmarks/workload/ornith-35b-q4

MLA

MyAIHardware Contributors. "MyAI Bench: Ornith 1.0 35B (Q4_K_M)." MyAIHardware, 2026, https://www.myaihardware.com/benchmarks/workload/ornith-35b-q4. Accessed 2026-08-30.

Plain text

MyAI Bench, Ornith 1.0 35B (Q4_K_M). MyAIHardware Contributors, 2026. Version 1.3. https://www.myaihardware.com/benchmarks/workload/ornith-35b-q4 (accessed 2026-08-30).