Model benchmarks
unsloth/LFM2.5-VL-1.6B-GGUF local LLM performance
As of September 2026, unsloth/LFM2.5-VL-1.6B-GGUF runs at up to 1101.6 tok/s for local inference (best of 4 community benchmark runs across 2 GPUs).
Model size
1.6B
Peak speed
1101.6 tok/s
Average speed
672.0 tok/s
Avg PP
1367.1 tok/s
Min memory
n/a
Max context
128,000 tokens
Avg output / run
53,099 tokens
Avg runtime / run
3m 56s
Avg quality
20.4
Benchmark runs
4
GPUs tested
2
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 4 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 | 14.8 | 20.4 | 24.5 |
| Agent Workflow | 5.2 | 17.2 | 31.4 |
| Code Generation | 0.5 | 5.2 | 9.3 |
| Role Play & Narrative | 12.3 | 32.2 | 52.8 |
| Research & Analysis | 20.3 | 27.0 | 36.3 |
Performance by hardware and tool
Every hardware/tool/quantization combination unsloth/LFM2.5-VL-1.6B-GGUF 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 |
|---|---|---|---|---|---|---|---|---|
| NVIDIA GeForce RTX 4070 | llama.cpp | — | 1101.6 tok/s | 1053.0 tok/s | n/a | 8,192 tokens | 18.4 | 2 |
| NVIDIA GeForce RTX 4070 | Unsloth Studio | Q4_K_M | 439.8 tok/s | 439.8 tok/s | n/a | 65,536 tokens | 24.8 | 1 |
| Intel(R) Arc(TM) 140V GPU (16GB) | Unsloth Studio | — | 142.0 tok/s | 142.0 tok/s | n/a | 128,000 tokens | 19.9 | 1 |
Benchmark runs
All 4 unsloth/LFM2.5-VL-1.6B-GGUF runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.
Frequently asked questions
- How fast is unsloth/LFM2.5-VL-1.6B-GGUF for local inference?
- Across 4 community benchmark runs, unsloth/LFM2.5-VL-1.6B-GGUF reaches up to 1101.6 tok/s and averages 672.0 tok/s, with the fastest results on NVIDIA GeForce RTX 4070.
- Which tools have been used to run unsloth/LFM2.5-VL-1.6B-GGUF?
- Benchmarks were submitted using Unsloth Studio, llama.cpp. Results are community-contributed and updated as new runs arrive.