Instructions to use LiquidAI/LFM3-1.7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use LiquidAI/LFM3-1.7B with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="LiquidAI/LFM3-1.7B", trust_remote_code=True)
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("LiquidAI/LFM3-1.7B", trust_remote_code=True, device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use LiquidAI/LFM3-1.7B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "LiquidAI/LFM3-1.7B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "LiquidAI/LFM3-1.7B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/LiquidAI/LFM3-1.7B

SGLang

How to use LiquidAI/LFM3-1.7B with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "LiquidAI/LFM3-1.7B" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "LiquidAI/LFM3-1.7B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "LiquidAI/LFM3-1.7B" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "LiquidAI/LFM3-1.7B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use LiquidAI/LFM3-1.7B with Docker Model Runner:
```
docker model run hf.co/LiquidAI/LFM3-1.7B
```

Add evaluation results

by SaylorTwift HF Staff - opened about 17 hours ago

base: refs/heads/main

←

from: refs/pr/6

Discussion Files changed

+60

-0

Files changed (1) hide show

.eval_results/LFM3-1.7B.yaml +60 -0

.eval_results/LFM3-1.7B.yaml ADDED Viewed

	@@ -0,0 +1,60 @@

+- dataset:
+    id: harborframework/terminal-bench-2.1
+    task_id: terminalbench_2_1
+  value: 12.92
+  date: "2026-10-27"
+  source:
+    url: https://huggingface.co/LiquidAI/LFM3-1.7B
+    name: "LFM3-1.7B model card"
+  notes: "OpenCode agent, up to 100 turns."
+- dataset:
+    id: SWE-bench/SWE-bench_Verified
+    task_id: swe_bench_%_resolved
+  value: 43.4
+  date: "2026-10-27"
+  source:
+    url: https://huggingface.co/LiquidAI/LFM3-1.7B
+    name: "LFM3-1.7B model card"
+  notes: "OpenCode agent, up to 250 turns."
+- dataset:
+    id: SWE-bench/SWE-bench_Multilingual
+    task_id: swe_bench_multilingual_%_resolved
+  value: 23.0
+  date: "2026-10-27"
+  source:
+    url: https://huggingface.co/LiquidAI/LFM3-1.7B
+    name: "LFM3-1.7B model card"
+  notes: "OpenCode agent, up to 250 turns."
+- dataset:
+    id: claw-eval/Claw-Eval
+    task_id: general
+  value: 51.4
+  date: "2026-10-27"
+  source:
+    url: https://huggingface.co/LiquidAI/LFM3-1.7B
+    name: "LFM3-1.7B model card"
+- dataset:
+    id: Idavidrein/gpqa
+    task_id: diamond
+  value: 63.37
+  date: "2026-10-27"
+  source:
+    url: https://huggingface.co/LiquidAI/LFM3-1.7B
+    name: "LFM3-1.7B model card"
+- dataset:
+    id: cais/hle
+    task_id: hle
+  value: 7.17
+  date: "2026-10-27"
+  source:
+    url: https://huggingface.co/LiquidAI/LFM3-1.7B
+    name: "LFM3-1.7B model card"
+  notes: "No tools."
+- dataset:
+    id: LiquidAI/ifstruct-v1.0
+    task_id: ifstruct_v1
+  value: 93.72
+  date: "2026-10-27"
+  source:
+    url: https://huggingface.co/LiquidAI/LFM3-1.7B
+    name: "LFM3-1.7B model card"