Instructions to use NaolBM/LFM2.5-1.2B-AfriBase with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use NaolBM/LFM2.5-1.2B-AfriBase with Transformers:

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

pipe = pipeline("text-generation", model="NaolBM/LFM2.5-1.2B-AfriBase")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("NaolBM/LFM2.5-1.2B-AfriBase")
model = AutoModelForCausalLM.from_pretrained("NaolBM/LFM2.5-1.2B-AfriBase", 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=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use NaolBM/LFM2.5-1.2B-AfriBase with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "NaolBM/LFM2.5-1.2B-AfriBase"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "NaolBM/LFM2.5-1.2B-AfriBase",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/NaolBM/LFM2.5-1.2B-AfriBase

SGLang

How to use NaolBM/LFM2.5-1.2B-AfriBase 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 "NaolBM/LFM2.5-1.2B-AfriBase" \
    --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": "NaolBM/LFM2.5-1.2B-AfriBase",
		"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 "NaolBM/LFM2.5-1.2B-AfriBase" \
        --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": "NaolBM/LFM2.5-1.2B-AfriBase",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Unsloth Studio

How to use NaolBM/LFM2.5-1.2B-AfriBase with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for NaolBM/LFM2.5-1.2B-AfriBase to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for NaolBM/LFM2.5-1.2B-AfriBase to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for NaolBM/LFM2.5-1.2B-AfriBase to start chatting

Load model with FastModel

pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
    model_name="NaolBM/LFM2.5-1.2B-AfriBase",
    max_seq_length=2048,
)

Docker Model Runner
How to use NaolBM/LFM2.5-1.2B-AfriBase with Docker Model Runner:
```
docker model run hf.co/NaolBM/LFM2.5-1.2B-AfriBase
```

NaolBM commited on Feb 23

Commit

1e2ca0d

verified ·

1 Parent(s): 3d1b678

Update chat_template.jinja

Browse files

Files changed (1) hide show

chat_template.jinja +5 -11

chat_template.jinja CHANGED Viewed

@@ -6,8 +6,7 @@
     {%- set messages = messages[1:] -%}
 {%- endif -%}
 {%- if tools -%}
-    {%- set ns.system_prompt = ns.system_prompt + ("
-" if ns.system_prompt else "") + "List of tools: [" -%}
     {%- for tool in tools -%}
         {%- if tool is not string -%}
             {%- set tool = tool | tojson -%}
@@ -20,9 +19,7 @@
     {%- set ns.system_prompt = ns.system_prompt + "]" -%}
 {%- endif -%}
 {%- if ns.system_prompt -%}
-    {{- "<|im_start|>system
-" + ns.system_prompt + "<|im_end|>
-" -}}
 {%- endif -%}
 {%- set ns.last_assistant_index = -1 -%}
 {%- for message in messages -%}
@@ -31,8 +28,7 @@
     {%- endif -%}
 {%- endfor -%}
 {%- for message in messages -%}
-    {{- "<|im_start|>" + message["role"] + "
-" -}}
     {%- set content = message["content"] -%}
     {%- if content is not string -%}
         {%- set content = content | tojson -%}
@@ -42,10 +38,8 @@
             {%- set content = content.split("</think>")[-1] | trim -%}
         {%- endif -%}
     {%- endif -%}
-    {{- content + "<|im_end|>
-" -}}
 {%- endfor -%}
 {%- if add_generation_prompt -%}
-    {{- "<|im_start|>assistant
-" -}}
 {%- endif -%}

     {%- 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 -%}
     {%- set ns.system_prompt = ns.system_prompt + "]" -%}
 {%- endif -%}
 {%- if ns.system_prompt -%}
+    {{- "<|im_start|>system\n" + ns.system_prompt + "<|im_end|>\n" -}}
 {%- endif -%}
 {%- set ns.last_assistant_index = -1 -%}
 {%- for message in messages -%}
     {%- endif -%}
 {%- endfor -%}
 {%- for message in messages -%}
+    {{- "<|im_start|>" + message["role"] + "\n" -}}
     {%- set content = message["content"] -%}
     {%- if content is not string -%}
         {%- set content = content | tojson -%}
             {%- set content = content.split("</think>")[-1] | trim -%}
         {%- endif -%}
     {%- endif -%}
+    {{- content + "<|im_end|>\n" -}}
 {%- endfor -%}
 {%- if add_generation_prompt -%}
+    {{- "<|im_start|>assistant\n" -}}
 {%- endif -%}