LiquidAI / text-generation updated 21 hours ago

LFM2.5-1.2B-Instruct

Name: LFM2.5-1.2B-Instruct
Author: LiquidAI

LFM2.5 is a new family of hybrid models designed for on-device deployment. It builds on the LFM2 architecture with extended pre-training and reinforcement learning.

Params

1.2 B

Context

128,000

Downloads 30d

584 K

Likes

647

Licence: other Not gated SAFETENSORS 8 languages View on Hugging Face ↗

Download history

daily snapshots · 10 days

604 K518 K

Jul 28Jul 31Aug 3Aug 6

Can you run it?

Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.

File	Quant	Size	Est. VRAM	Verdict on RTX 4090 · 24 GB
model.safetensors	bf16	2.3 GB	3.3 GB	✅ Runs comfortably
model.safetensors (bf16, full)	bf16 + 125K ctx	2.3 GB	5.8 GB	✅ Runs comfortably

Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.

Run it

copy-paste, exact tags checked against the Hub

~ · curl · api/v1

$ curl -s https://aimodelscomparison.com/api/v1/models/lfm2-5-1-2b-instruct
{
  "hf_id": "LiquidAI/LFM2.5-1.2B-Instruct",
  "params_b": 1.17,
  "context_length": 128000,
  "license": { "id": "other", "commercial": "unknown" },
  "downloads_30d": 583914,
  "vram_estimates": [
    { "quant": "bf16", "gb": 3.3 }
  ],
  "updated_at": "2026-08-06T01:00:31Z"
}

est. VRAM —on RTX 4090 · 24 GBJSON API →

Specifications

Architecture: Lfm2ForCausalLM
Parameters: 1.2 B
Tensor type: BF16
Context length: 128,000
Vocabulary: 65,536
Layers / heads: 16 / 32
Licence: other
First seen on the Hub: 2026-01-06
Training datasets: undisclosed
Added to our catalog: 2026-07-28

Family

Base model and the most-downloaded derivatives in the catalog.

Derivative LFM2.5-1.2B-Instruct-GGUF LiquidAI 252 K

Compare with

Qwen3-0.6B 29.7 M Qwen2.5-1.5B-Instruct 14.0 M Llama-3.2-1B-Instruct 10.4 M Qwen3-1.7B 7.8 M Qwen2.5-0.5B-Instruct 6.6 M gemma-3-1b-it 4.7 M

Appears in

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