Model benchmarks
unsloth/LFM2.5-8B-A1B-GGUF local LLM performance
As of September 2026, unsloth/LFM2.5-8B-A1B-GGUF runs at up to 259.7 tok/s for local inference (best of 5 community benchmark runs across 2 GPUs).
Model size
8B
Peak speed
259.7 tok/s
Average speed
167.8 tok/s
Avg PP
954.4 tok/s
Min memory
8.8 GB
Max context
100,000 tokens
Avg output / run
17,449 tokens
Avg runtime / run
3m 13s
Avg quality
48.2
Benchmark runs
5
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 5 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 | 41.9 | 48.2 | 52.7 |
| Agent Workflow | 51.0 | 68.7 | 81.7 |
| Code Generation | 10.4 | 16.0 | 20.8 |
| Role Play & Narrative | 55.2 | 64.6 | 74.8 |
| Research & Analysis | 36.2 | 43.6 | 50.7 |
Performance by hardware and tool
Every hardware/tool/quantization combination unsloth/LFM2.5-8B-A1B-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 | Unsloth Studio | UD-Q5_K_XL | 259.7 tok/s | 259.7 tok/s | 8.8 GB | 100,000 tokens | 52.7 | 1 |
| NVIDIA GeForce RTX 4070 | llama.cpp | — | 241.2 tok/s | 240.5 tok/s | n/a | 32,768 tokens | 48.7 | 2 |
| Intel(R) Arc(TM) 140V GPU (16GB) | llama.cpp | — | 50.6 tok/s | 49.3 tok/s | n/a | 32,768 tokens | 45.5 | 2 |
Benchmark runs
All 5 unsloth/LFM2.5-8B-A1B-GGUF runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.
Frequently asked questions
- How fast is unsloth/LFM2.5-8B-A1B-GGUF for local inference?
- Across 5 community benchmark runs, unsloth/LFM2.5-8B-A1B-GGUF reaches up to 259.7 tok/s and averages 167.8 tok/s, with the fastest results on NVIDIA GeForce RTX 4070.
- How much memory does unsloth/LFM2.5-8B-A1B-GGUF need?
- The leanest observed configuration used about 8.8 GB of memory (quantizations tested: UD-Q5_K_XL).
- Which tools have been used to run unsloth/LFM2.5-8B-A1B-GGUF?
- Benchmarks were submitted using Unsloth Studio, llama.cpp. Results are community-contributed and updated as new runs arrive.