Instructions to use LiquidAI/LFM2.5-8B-A1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use LiquidAI/LFM2.5-8B-A1B with Transformers:

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

pipe = pipeline("text-generation", model="LiquidAI/LFM2.5-8B-A1B")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("LiquidAI/LFM2.5-8B-A1B")
model = AutoModelForCausalLM.from_pretrained("LiquidAI/LFM2.5-8B-A1B")
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=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use LiquidAI/LFM2.5-8B-A1B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "LiquidAI/LFM2.5-8B-A1B"
# 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/LFM2.5-8B-A1B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/LiquidAI/LFM2.5-8B-A1B

SGLang

How to use LiquidAI/LFM2.5-8B-A1B 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/LFM2.5-8B-A1B" \
    --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/LFM2.5-8B-A1B",
		"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/LFM2.5-8B-A1B" \
        --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/LFM2.5-8B-A1B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use LiquidAI/LFM2.5-8B-A1B with Docker Model Runner:
```
docker model run hf.co/LiquidAI/LFM2.5-8B-A1B
```

Update tokenizer

by nathanrchn - opened 4 days ago

base: refs/heads/main

←

from: refs/pr/5

Discussion Files changed

+14

-5

Files changed (3) hide show

chat_template.jinja +11 -1
tokenizer.json +2 -2
tokenizer_config.json +1 -2

chat_template.jinja CHANGED Viewed

@@ -51,7 +51,17 @@
     {%- set messages = messages[1:] -%}
 {%- endif -%}
 {%- if tools -%}
-    {%- set ns.system_prompt = ns.system_prompt + ("\n\n" if ns.system_prompt else "") + "Today's date: " + strftime_now("%Y-%m-%d") + "\n\nList of tools: " + (tools | tojson) -%}
 {%- endif -%}
 {%- if ns.system_prompt -%}
     {{- "<|im_start|>system\n" + ns.system_prompt + "<|im_end|>\n" -}}

     {%- set messages = messages[1:] -%}
 {%- endif -%}
 {%- if tools -%}
+    {%- set ns.system_prompt = ns.system_prompt + ("\n" if ns.system_prompt else "") + "List of tools: [" -%}
+    {%- for tool in tools -%}
+        {%- if tool is not string -%}
+            {%- set tool = tool | tojson -%}
+        {%- endif -%}
+        {%- set ns.system_prompt = ns.system_prompt + tool -%}
+        {%- if not loop.last -%}
+            {%- set ns.system_prompt = ns.system_prompt + ", " -%}
+        {%- endif -%}
+    {%- endfor -%}
+    {%- set ns.system_prompt = ns.system_prompt + "]" -%}
 {%- endif -%}
 {%- if ns.system_prompt -%}
     {{- "<|im_start|>system\n" + ns.system_prompt + "<|im_end|>\n" -}}

tokenizer.json CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c4687c0046da6579aba6f9aa713e9bed61e5fd210b0e012028ae57751d028689
-size 17905589

 version https://git-lfs.github.com/spec/v1
+oid sha256:695be7802a0e4b8a81048f0ff5ebb7fc811a0ba5a6be63dbb24deb5a81096f41
+size 17905598

tokenizer_config.json CHANGED Viewed

@@ -4,9 +4,8 @@
   "clean_up_tokenization_spaces": false,
   "eos_token": "<|im_end|>",
   "is_local": true,
-  "legacy": false,
   "model_max_length": 1000000000000000019884624838656,
   "pad_token": "<|pad|>",
   "tokenizer_class": "TokenizersBackend",
   "use_default_system_prompt": false
-}

   "clean_up_tokenization_spaces": false,
   "eos_token": "<|im_end|>",
   "is_local": true,
   "model_max_length": 1000000000000000019884624838656,
   "pad_token": "<|pad|>",
   "tokenizer_class": "TokenizersBackend",
   "use_default_system_prompt": false
+}