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Can I run LFM3 Omni 2B on AMD Ryzen AI Halo (128GB)?

Compatibility verdict VRAM threshold engine
Yes, it runs GPU accelerated ~87 tok/s est.

Yes. LFM3 Omni 2B runs on AMD Ryzen AI Halo (128GB) at Q4_K_M (~3.1 GB of ~96 GB usable).

Needs ~3.1 GB Device usable ~96 GB

Runs at Q4_K_M using ~3.1 GB of ~96 GB usable. You have room for FP16 for higher quality.

That figure is at a 4k context and moves about ±15% as context length changes. AMD Ryzen AI Halo (128GB) leaves ~92.9 GB of headroom, room to step up to FP16 for higher quality.

Q4_K_M needed
~3.1 GB
Usable on device
~96 GB
Device memory
128 GB
Best quant
Q4_K_M
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Which quant fits

Quant ladder vs ~96 GB usable
Q2_K
~2.1 GB
Q3_K_M
~2.3 GB
Q4_K_M
~3.1 GB
Q5_K_M
~2.7 GB
Q6_K
~3 GB
Q8_0
~3.8 GB
FP16
~5.3 GB
The line marks AMD Ryzen AI Halo (128GB)'s ~96 GB budget; rungs past it are too large.

Running cost · estimate

Power & economics est.
Power draw
~120 W
Electricity / 1M tokens
~$0.06
Pays for itself after
~9,089M tok

At ~$0.15/kWh and the estimated ~87 tok/s, a million generated tokens costs about $0.06 in electricity. Versus a hosted API at ~$0.5 per million tokens, the ~$3,999 AMD Ryzen AI Halo (128GB) pays for itself after roughly 9,089 million tokens, so local hardware is mostly a fixed cost, not a per-token one. TDP is the peak draw, so this is an upper bound. Assumptions.

Run it

Install commands Linux

Pick your tool. All 3 load the same Q4_K_M weights.

Ollama
$ ollama run lfm3-omni:2b
llama.cpp
$ llama-cli -hf LiquidAI/LFM3-Omni-2B-GGUF:Q4_K_M
LM Studio
$ lms get LiquidAI/LFM3-Omni-2B-GGUF
Model LFM
Parameters
2.17B
Q4_K_M size
1.91 GB
Q8_0 size
2.6 GB
Context
125k
Ollama tag
lfm3-omni:2b
Full LFM3 Omni 2B requirements →
Device Linux
Memory
128 GB unified
Usable for weights
~96 GB
Power draw
~120 W
Best runtime
llama.cpp (Vulkan/ROCm) / LM Studio
Best models for AMD Ryzen AI Halo (128GB) →

You could also run

Run LFM3 Omni 2B on other hardware

Nvidia GeForce RTX 2060 (6GB)Apple M1 (8GB)8GB RAM Laptop (CPU/iGPU only)iPhone 15 ProiPhone 16iPhone 16 Pro

FAQ

Can AMD Ryzen AI Halo (128GB) run LFM3 Omni 2B?

Yes. LFM3 Omni 2B runs on AMD Ryzen AI Halo (128GB) at Q4_K_M (~3.1 GB of ~96 GB usable).

How much memory does LFM3 Omni 2B need?

AMD Ryzen AI Halo (128GB) has room to spare. At Q4_K_M the weights are ~1.91 GB; with KV cache and runtime overhead, budget ~3.1 GB at a 4k context.

What is the best tool to run LFM3 Omni 2B on Linux?

Ollama for a simple setup; vLLM for the most speed. vLLM shines for multi-user serving/throughput. For a single local chat, Ollama or llama.cpp is simpler and lighter.

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LFM3 Omni 2B on AMD Ryzen AI Halo (128GB) compatibility badge A live badge for your model card or README, updated as the data is.
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Sources

Weights are measured from GGUF files; KV cache and overhead are computed, so totals can vary ~15% with context and runtime. Any tok/s is a bandwidth estimate. See methodology.