LFM3 VL 2B
1.9B parameters · 125k context · LFM Open License v1.0 · released 2026-10-19
visionreasoningagenticchat
Cheapest way to run it in the US today
Nothing in stock in the US today runs LFM3 VL 2B fully in memory at 32k context at 15 tok/s or more. A shorter context needs less memory; the table below shows what comes closest.
What to run it on in the US
Fully in memory at 32k context, priced at retailers today.
Nothing we price holds this model fully in memory.
All hardware that runs it
Everything we price, best value first. Two cards split the model by layers.
Nothing we price can run it at this context.
Memory needed
Weights, KV cache and runtime buffers at each context length (KV cache at fp16).
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Run it
Copy a command for the runtime you use.
No published builds to run yet.
Notes
Needs transformers>=5.21.0 or llama.cpp b11960+; vLLM and SGLang support is still pending per the card. Card says it is not recommended for coding, multi-turn conversations, or complex reasoning.
Questions
- What licence is LFM3 VL 2B released under?
- LFM Open License v1.0.