Instructions to use amewebstudio/ananke-sclm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use amewebstudio/ananke-sclm with Transformers:

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

pipe = pipeline("text-generation", model="amewebstudio/ananke-sclm")

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("amewebstudio/ananke-sclm", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use amewebstudio/ananke-sclm with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/amewebstudio/ananke-sclm

SGLang

How to use amewebstudio/ananke-sclm 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 "amewebstudio/ananke-sclm" \
    --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": "amewebstudio/ananke-sclm",
		"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 "amewebstudio/ananke-sclm" \
        --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": "amewebstudio/ananke-sclm",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use amewebstudio/ananke-sclm with Docker Model Runner:
```
docker model run hf.co/amewebstudio/ananke-sclm
```

amewebstudio commited on Jan 9

Commit

2194e5c

verified ·

1 Parent(s): a5f84ad

Update README.md

Browse files

Licence = Proprietary / BSL-1.1

Files changed (1) hide show

README.md +16 -8

README.md CHANGED Viewed

@@ -1,5 +1,5 @@
 ---
-license: mit
 language:
 - en
 library_name: transformers
@@ -13,12 +13,12 @@ tags:
 pipeline_tag: text-generation
 base_model: mistralai/Mistral-7B-v0.1
 widget:
-- text: "The wizard Elara lived in Silverwood forest. One day, she discovered"
-  example_title: "Fantasy Story"
-- text: "In the year 2050, humanity had finally achieved"
-  example_title: "Science Fiction"
-- text: "The detective examined the crime scene carefully. The clues pointed to"
-  example_title: "Mystery"
 inference:
   parameters:
     max_new_tokens: 100
@@ -113,6 +113,14 @@ tokenizer = AutoTokenizer.from_pretrained("amewebstudio/ananke-sclm")
 **Mike Amega** - [Ame Web Studio](https://github.com/Volgat)
 ---
-*SCLM is an experimental architecture exploring persistent memory in language models.*

 ---
+license: other
 language:
 - en
 library_name: transformers
 pipeline_tag: text-generation
 base_model: mistralai/Mistral-7B-v0.1
 widget:
+- text: The wizard Elara lived in Silverwood forest. One day, she discovered
+  example_title: Fantasy Story
+- text: In the year 2050, humanity had finally achieved
+  example_title: Science Fiction
+- text: The detective examined the crime scene carefully. The clues pointed to
+  example_title: Mystery
 inference:
   parameters:
     max_new_tokens: 100
 **Mike Amega** - [Ame Web Studio](https://github.com/Volgat)
+Business Source License 1.1 (BSL-1.1) - See LICENSE for details.
+Copyright (c) 2025 (Ame Web Studio). All Rights Reserved.
+👤 Author
+Mike Amega - Ame Web Studio
+📧 info@amewebstudio.com
 ---
+*SCLM is an experimental architecture exploring persistent memory in language models.*