Can I Run LFM2.5 on NVIDIA GeForce RTX 4070?
Written by Jakub Rusinowski · Last updated October 15, 2026
Yes, comfortably — LFM2.5-8B-A1B at Q4_K_M needs 7 GB at 8K context (5 GB weights + 2 GB KV cache/overhead), leaving ~5 GB of the NVIDIA GeForce RTX 4070's 12 GB, at ~184 tok/s (est.), with room for up to 32K context.
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NVIDIA GeForce RTX 4070 Specs
| VRAM | 12 GB |
| Memory Bandwidth | 504 GB/s |
LFM2.5-8B-A1B on the NVIDIA GeForce RTX 4070: VRAM by quantization
| Quant | VRAM needed | Fits 12 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 18.6 GB | ✗ No | — | — |
| Q8_0 | 10.8 GB | ✓ Yes | 16K | — |
| Q6_K | 8.8 GB | ✓ Yes | 16K | — |
| Q5_K_M | 7.9 GB | ✓ Yes | 32K | — |
| Q4_K_M | 7 GB | ✓ Yes | 32K | — |
| Q3_K_M | 5.5 GB | ✓ Yes | 32K | — |
| Q2_K | 4.7 GB | ✓ Yes | 32K | — |
Assumes an 8K-token context with an f16 KV cache, on an estimated architecture — this model publishes no config we can read. A longer window needs more; a quantized KV cache needs less. “Max context” is the largest window that still fits in 12 GB. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.
Context costs VRAM too. At Q4_K_M on the NVIDIA GeForce RTX 4070: 8K 7 GB · 32K 10.5 GB · 128K 24.6 GB ✗. Past 128K it no longer fits 12 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.
No compatible GPU? LFM2.5-8B-A1B on 16 GB of system RAM, CPU only: runs.
LFM2.5 Sizes That Fit the NVIDIA GeForce RTX 4070 (at 8K context)
| LFM2.5-8B-A1B | Q4_K_M · 7 GB at 8K context · ~184 tok/s (est.) |
| LFM2.5 2.6B | Q4_K_M · 3.2 GB at 8K context · ~152 tok/s (est.) |
At 2 hrs/day, buying (~$599) beats renting at $0.34/hr after about 2.4 years.
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Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.
FAQ
Does the NVIDIA GeForce RTX 4070 have enough VRAM for LFM2.5?
Yes, comfortably — LFM2.5-8B-A1B at Q4_K_M needs 7 GB at 8K context (5 GB weights + 2 GB KV cache/overhead), leaving ~5 GB of the NVIDIA GeForce RTX 4070's 12 GB, at ~184 tok/s (est.), with room for up to 32K context.
Which quantization of LFM2.5 should I use on the NVIDIA GeForce RTX 4070?
LFM2.5-8B-A1B at Q4_K_M quantization needs 7 GB at 8K context (5 GB weights + 2 GB KV cache/overhead), estimated ~184 tokens/sec, up to 32K context.
LFM2.5 on Other GPUs
- LFM2.5 on NVIDIA GeForce RTX 5070
- LFM2.5 on NVIDIA GeForce RTX 4070 Ti
- LFM2.5 on NVIDIA GeForce RTX 4070 Super
- LFM2.5 on NVIDIA GeForce RTX 3060 (12GB)
- LFM2.5 on Intel Arc B580
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