Instructions to use humain-ai/ALLaM-7B-Instruct-preview with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use humain-ai/ALLaM-7B-Instruct-preview with Transformers:

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

pipe = pipeline("text-generation", model="humain-ai/ALLaM-7B-Instruct-preview")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("humain-ai/ALLaM-7B-Instruct-preview")
model = AutoModelForCausalLM.from_pretrained("humain-ai/ALLaM-7B-Instruct-preview", 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 humain-ai/ALLaM-7B-Instruct-preview with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "humain-ai/ALLaM-7B-Instruct-preview"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "humain-ai/ALLaM-7B-Instruct-preview",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/humain-ai/ALLaM-7B-Instruct-preview

SGLang

How to use humain-ai/ALLaM-7B-Instruct-preview 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 "humain-ai/ALLaM-7B-Instruct-preview" \
    --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": "humain-ai/ALLaM-7B-Instruct-preview",
		"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 "humain-ai/ALLaM-7B-Instruct-preview" \
        --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": "humain-ai/ALLaM-7B-Instruct-preview",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use humain-ai/ALLaM-7B-Instruct-preview with Docker Model Runner:
```
docker model run hf.co/humain-ai/ALLaM-7B-Instruct-preview
```

Amjad-Felemban commited on Jul 2, 2025

Commit

a895c82

1 Parent(s): 0927990

Added the model tag of v1 to the current uploaded model prior to uploading the newer version. Also, added in the README.md the proper revision tags for loading the models.

Browse files

Files changed (1) hide show

README.md +4 -0

README.md CHANGED Viewed

@@ -33,6 +33,10 @@ Some parameters for this model are provided in the following table:
 |----------------|-----------------|--------------------|--------------|------------------|
 | 7B parameters  | 4096 tokens     |4T(en) + 1.2T(en+ar)| 7M           | 260K             |
 ## Model Description

 |----------------|-----------------|--------------------|--------------|------------------|
 | 7B parameters  | 4096 tokens     |4T(en) + 1.2T(en+ar)| 7M           | 260K             |
+#### Model Revisions Loading Tags:
+- **Version 7b-alpha-v1.27.2.25 (Old Release)**: `revision = "v1"`
+- **Version 7b-alpha-v2.33.0.30 (Newest Releas)**: `revision = "v2"`
 ## Model Description