Instructions to use ClaudioItaly/Anya-9Y with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use ClaudioItaly/Anya-9Y with Transformers:

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

pipe = pipeline("text-generation", model="ClaudioItaly/Anya-9Y")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("ClaudioItaly/Anya-9Y")
model = AutoModelForCausalLM.from_pretrained("ClaudioItaly/Anya-9Y", 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=256)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use ClaudioItaly/Anya-9Y with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "ClaudioItaly/Anya-9Y"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "ClaudioItaly/Anya-9Y",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/ClaudioItaly/Anya-9Y

SGLang

How to use ClaudioItaly/Anya-9Y 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 "ClaudioItaly/Anya-9Y" \
    --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": "ClaudioItaly/Anya-9Y",
		"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 "ClaudioItaly/Anya-9Y" \
        --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": "ClaudioItaly/Anya-9Y",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use ClaudioItaly/Anya-9Y with Docker Model Runner:
```
docker model run hf.co/ClaudioItaly/Anya-9Y
```

ClaudioItaly commited on Feb 23, 2025

Commit

a2afa65

verified ·

1 Parent(s): 98a7fc4

Update README.md

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@@ -1,73 +1,3 @@
 ---
-base_model:
-- sam-paech/Quill-v1
-- lemon07r/Gemma-2-Ataraxy-v4c-9B
-- jsgreenawalt/gemma-2-9B-it-advanced-v2.1
-- sam-paech/Darkest-muse-v1
-- sam-paech/Delirium-v1
-- ClaudioItaly/Vangelus-Secundus
-- ClaudioItaly/1800-9B
-library_name: transformers
-tags:
-- mergekit
-- merge
----
-# merge
-This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
-## Merge Details
-### Merge Method
-This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [ClaudioItaly/Vangelus-Secundus](https://huggingface.co/ClaudioItaly/Vangelus-Secundus) as a base.
-### Models Merged
-The following models were included in the merge:
-* [sam-paech/Quill-v1](https://huggingface.co/sam-paech/Quill-v1)
-* [lemon07r/Gemma-2-Ataraxy-v4c-9B](https://huggingface.co/lemon07r/Gemma-2-Ataraxy-v4c-9B)
-* [jsgreenawalt/gemma-2-9B-it-advanced-v2.1](https://huggingface.co/jsgreenawalt/gemma-2-9B-it-advanced-v2.1)
-* [sam-paech/Darkest-muse-v1](https://huggingface.co/sam-paech/Darkest-muse-v1)
-* [sam-paech/Delirium-v1](https://huggingface.co/sam-paech/Delirium-v1)
-* [ClaudioItaly/1800-9B](https://huggingface.co/ClaudioItaly/1800-9B)
-### Configuration
-The following YAML configuration was used to produce this model:
-```yaml
-models:
-  - model: lemon07r/Gemma-2-Ataraxy-v4c-9B
-    parameters:
-      weight: 0.35
-  - model: ClaudioItaly/1800-9B
-    parameters:
-      weight: 0.25
-  - model: jsgreenawalt/gemma-2-9B-it-advanced-v2.1  # Modello italiano verificato
-    parameters:
-      weight: 0.15
-  - model: sam-paech/Darkest-muse-v1
-    parameters:
-      weight: 0.10
-  - model: sam-paech/Delirium-v1
-    parameters:
-      weight: 0.10
-  - model: sam-paech/Quill-v1
-    parameters:
-      weight: 0.05
-merge_method: ties
-base_model: ClaudioItaly/Vangelus-Secundus
-parameters:
-  density: 0.6
-  mask_threshold: 0.015
-  normalize: true
-  int8_mask: true
-dtype: bfloat16
 ```


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