LFM3-1.7B
LFM3-1.7B is a text model for local agents and specialized applications, based on our new tri-hybrid architecture.
Params
1.7 B
Context
262,144
Downloads 30d
79 K
Likes
1,575
Download history
tracking started — chart appears after 7 days of snapshots (3 recorded)79 K downloads in the last 30 days
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 | 3.5 GB | 4.6 GB | ✅ Runs comfortably |
| model.safetensors (bf16, full) | bf16 + 256K ctx | 3.5 GB | 12.6 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 -s https://aimodelscomparison.com/api/v1/models/lfm3-1-7b
{
"hf_id": "LiquidAI/LFM3-1.7B",
"params_b": 1.73,
"context_length": 262144,
"license": { "id": "other", "commercial": "unknown" },
"downloads_30d": 78750,
"vram_estimates": [
{ "quant": "bf16", "gb": 4.6 }
],
"updated_at": "2026-11-07T06:00:04Z"
}
Use via API
via OpenRouter · USD per 1M tokens · synced 2026-11-10$0.08
input / 1M
$0.20
output / 1M
$0.02
cached input / 1M
$0.28
1M in + 1M out
:free variant
Free in · Free out
- Context window
- 262,144 tokens
- Max output
- 8,192 tokens
- Providers
- 1
- Cheapest provider
- Liquid · $0.08 / $0.20
- Best throughput
- —
- AA Intelligence / Coding / Agentic
- — / — / —
✓ Tool calling
✓ Reasoning
✓ Structured outputs
✗ Image input
✗ File input
✗ Audio input
✓ Prompt caching
Specifications
- Architecture
- Lfm3ForCausalLM
- Parameters
- 1.7 B
- Tensor type
- BF16
- Context length
- 262,144
- Vocabulary
- 128,000
- Layers / heads
- 24 / 16
- Licence
- other
- First seen on the Hub
- 2026-10-23
- Training datasets
- undisclosed
- Added to our catalog
- 2026-11-08
Compare with any text-generation model