Instructions to use arcee-ai/AFM-4.5B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use arcee-ai/AFM-4.5B with Transformers:

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

pipe = pipeline("text-generation", model="arcee-ai/AFM-4.5B")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("arcee-ai/AFM-4.5B")
model = AutoModelForCausalLM.from_pretrained("arcee-ai/AFM-4.5B")
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 arcee-ai/AFM-4.5B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "arcee-ai/AFM-4.5B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "arcee-ai/AFM-4.5B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/arcee-ai/AFM-4.5B

SGLang

How to use arcee-ai/AFM-4.5B 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 "arcee-ai/AFM-4.5B" \
    --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": "arcee-ai/AFM-4.5B",
		"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 "arcee-ai/AFM-4.5B" \
        --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": "arcee-ai/AFM-4.5B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use arcee-ai/AFM-4.5B with Docker Model Runner:
```
docker model run hf.co/arcee-ai/AFM-4.5B
```

Update README.md

by Crystalcareai - opened Sep 17, 2025

base: refs/heads/main

←

from: refs/pr/2

Discussion Files changed

-8

Files changed (1) hide show

README.md +2 -8

README.md CHANGED Viewed

@@ -1,5 +1,5 @@
 ---
-license: other
 license_name: aml
 language:
 - en
@@ -15,9 +15,6 @@ language:
 - zh
 library_name: transformers
 extra_gated_prompt: Company name is optional, please put NA if you would prefer not to share it.
-extra_gated_fields:
-  Company: text
-  I agree to use this model in accordance with the Arcee Model License (AML): checkbox
 base_model:
 - arcee-ai/AFM-4.5B-Base
 ---
@@ -54,7 +51,6 @@ View our documentation here for more details: https://docs.arcee.ai/arcee-founda
 * **Model Architecture:** ArceeForCausalLM
 * **Parameters:** 4.5B
 * **Training Tokens:**
-* **License:** [Arcee Model License (AML)](https://huggingface.co/arcee-ai/AFM-4.5B#license)
 * **Recommended settings:**
     * temperature: 0.5
     * top_k: 50
@@ -173,6 +169,4 @@ https://huggingface.co/arcee-ai/AFM-4.5B-ov
 ## License
-AFM-4.5B is released under the [Arcee Model License](https://huggingface.co/arcee-ai/AFM-4.5B/blob/main/LICENSE). If your company makes less than $1.75 million in annual revenue, you’re free to use the model for commercial purposes, as long as you’re not providing the weights to a company above that threshold. If your product or application using AFM-4.5B is sold to a larger company, that’s fine—as long as they don’t receive or run the weights directly.
-We want as many developers, researchers, and builders as possible to benefit from AFM-4.5B. At the same time, this license ensures that we can continue to develop and support the model for the community.

 ---
+license: apache-2.0
 license_name: aml
 language:
 - en
 - zh
 library_name: transformers
 extra_gated_prompt: Company name is optional, please put NA if you would prefer not to share it.
 base_model:
 - arcee-ai/AFM-4.5B-Base
 ---
 * **Model Architecture:** ArceeForCausalLM
 * **Parameters:** 4.5B
 * **Training Tokens:**
 * **Recommended settings:**
     * temperature: 0.5
     * top_k: 50
 ## License
+AFM-4.5B is released under the Apache-2.0 license.