Instructions to use LiquidAI/LFM2.5-2.6B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use LiquidAI/LFM2.5-2.6B with Transformers:

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

pipe = pipeline("text-generation", model="LiquidAI/LFM2.5-2.6B")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("LiquidAI/LFM2.5-2.6B")
model = AutoModelForCausalLM.from_pretrained("LiquidAI/LFM2.5-2.6B", device_map="auto")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=256)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use LiquidAI/LFM2.5-2.6B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "LiquidAI/LFM2.5-2.6B"
# 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/LFM2.5-2.6B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/LiquidAI/LFM2.5-2.6B

SGLang

How to use LiquidAI/LFM2.5-2.6B 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/LFM2.5-2.6B" \
    --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/LFM2.5-2.6B",
		"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/LFM2.5-2.6B" \
        --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/LFM2.5-2.6B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use LiquidAI/LFM2.5-2.6B with Docker Model Runner:
```
docker model run hf.co/LiquidAI/LFM2.5-2.6B
```

VINAY-UMRETHE commited on Aug 6

Commit

efa3300

verified ·

1 Parent(s): a4e00e8

fix: Add `"do_sample": true,` since this LFM model uses `"temperature": 0.1`

Browse files

So I used this model `LiquidAI/LFM2.5-2.6B` with [p-e-w/heretic](https://github.com/p-e-w/heretic), and it gave me this error when trying to upload it on hugging face.

```bash
Which reproducibility information do you want to add? Full: Settings, package versions, and system information
Uploading merged model...
* Merging LoRA adapters into base model...
Error:
GenerationConfig is invalid:
- `temperature`: `do_sample` is not set to `True`. However, `temperature` is set to `0.1` -- this flag is only used in
sample-based generation modes. You should set `do_sample=True` or unset `temperature`.
If you're using a pretrained model, note that some of these attributes may be set through the model's
`generation_config.json` file.
```

### after fix

```bash
Model uploaded to VINAY-UMRETHE/LFM2.5-2.6B-heretic.
```

Files changed (1) hide show

generation_config.json +1 -0

generation_config.json CHANGED Viewed

@@ -8,6 +8,7 @@
   "output_hidden_states": false,
   "pad_token_id": 124893,
   "temperature": 0.1,
   "top_k": 50,
   "repetition_penalty": 1.1,
   "transformers_version": "5.2.0",

   "output_hidden_states": false,
   "pad_token_id": 124893,
   "temperature": 0.1,
+  "do_sample": true,
   "top_k": 50,
   "repetition_penalty": 1.1,
   "transformers_version": "5.2.0",