How fast is IFM/K2-Horizon-0.9B-GGUF for local inference?

Across 6 community benchmark runs, IFM/K2-Horizon-0.9B-GGUF reaches up to 323.4 tok/s and averages 281.7 tok/s, with the fastest results on NVIDIA GeForce RTX 4070.

How much memory does IFM/K2-Horizon-0.9B-GGUF need?

The leanest observed configuration used about 3.9 GB of memory (quantizations tested: Q4_K_M).

Which tools have been used to run IFM/K2-Horizon-0.9B-GGUF?

Benchmarks were submitted using Unsloth Studio. Results are community-contributed and updated as new runs arrive.

Model benchmarks

IFM/K2-Horizon-0.9B-GGUF local LLM performance

As of October 2026, IFM/K2-Horizon-0.9B-GGUF runs at up to 323.4 tok/s for local inference (best of 6 community benchmark runs across 1 GPU).

Unsloth StudioQ4_K_M

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Model size

0.9B

Peak speed

323.4 tok/s

Average speed

281.7 tok/s

Avg PP

8115.9 tok/s

Min memory

3.9 GB

Max context

131,072 tokens

Avg output / run

32,409 tokens

Avg runtime / run

4m 21s

Avg quality

28.6

Benchmark runs

GPUs tested

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 6 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	21.9	28.6	35.9
Agent Workflow	21.9	45.4	64.2
Code Generation	0.6	3.9	7.1
Role Play & Narrative	25.0	33.8	42.0
Research & Analysis	22.6	31.3	37.7

Performance by hardware and tool

Every hardware/tool/quantization combination IFM/K2-Horizon-0.9B-GGUF 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
NVIDIA GeForce RTX 4070	Unsloth Studio	Q4_K_M	323.4 tok/s	281.7 tok/s	3.9 GB	131,072 tokens	28.6	6

Benchmark runs

All 6 IFM/K2-Horizon-0.9B-GGUF runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.

Open run page →

Frequently asked questions

How fast is IFM/K2-Horizon-0.9B-GGUF for local inference?: Across 6 community benchmark runs, IFM/K2-Horizon-0.9B-GGUF reaches up to 323.4 tok/s and averages 281.7 tok/s, with the fastest results on NVIDIA GeForce RTX 4070.
How much memory does IFM/K2-Horizon-0.9B-GGUF need?: The leanest observed configuration used about 3.9 GB of memory (quantizations tested: Q4_K_M).
Which tools have been used to run IFM/K2-Horizon-0.9B-GGUF?: Benchmarks were submitted using Unsloth Studio. Results are community-contributed and updated as new runs arrive.