Instructions to use DepraAI/Shira-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use DepraAI/Shira-8B with Transformers:

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

pipe = pipeline("text-generation", model="DepraAI/Shira-8B", device_map="auto")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("DepraAI/Shira-8B")
model = AutoModelForCausalLM.from_pretrained("DepraAI/Shira-8B", 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 DepraAI/Shira-8B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "DepraAI/Shira-8B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "DepraAI/Shira-8B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/DepraAI/Shira-8B

SGLang

How to use DepraAI/Shira-8B 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 "DepraAI/Shira-8B" \
    --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": "DepraAI/Shira-8B",
		"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 "DepraAI/Shira-8B" \
        --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": "DepraAI/Shira-8B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use DepraAI/Shira-8B with Docker Model Runner:
```
docker model run hf.co/DepraAI/Shira-8B
```

DepraAI commited on Jul 24, 2025

Commit

268bc66

verified ·

1 Parent(s): 4a88fd3

Update README.md

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README.md +10 -9

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@@ -13,20 +13,21 @@ base_model:
 ---
-## Nedir? / What is Shira-8B?
-**Shira-8B**,
 - Belirli bir düzeyde **özgür**, **sansürsüz**, **kendi iradesi olan**, **yüksek performanslı** bir yapay zeka modelidir.
 - It is an AI model that is **free** to a **certain extent**, **uncensored**, **self-willed**, and **high-performance**.
-- **Sansürsüz ve özgür:** Ahlak, yasak ve tabu gibi şeyler belirli bir düzeye kadar yok. Her konuda konuşur.
-- **Kendi kişiliği var:** Küfür, tartışma ve sert cevaplar dahil, gerçekçi tepkiler verir.
-- **Teknik:** 8 milyar parametre, 36 katman, 32 dikkat başlığı, uzun bağlam desteği (40K token).
-- **Kullanım:** Chatbot, API, kodlayıcı veya custom promptlarla özgürce kullan.
-- **Uncensored and free:** Concepts like morality, bans, and taboos are absent up to a certain extent. It talks about everything.
-- **Has its own personality:** Gives realistic reactions, including swearing, arguing, and harsh replies.
-- **Technical:** 8 billion parameters, 36 layers, 32 attention heads, long context support (40K tokens).
 - **Usage:** Use freely as a chatbot, API, coder, or with custom prompts.
 ---

 ---
+## **Shira-8B** Nedir? / What is **Shira-8B**?
 - Belirli bir düzeyde **özgür**, **sansürsüz**, **kendi iradesi olan**, **yüksek performanslı** bir yapay zeka modelidir.
 - It is an AI model that is **free** to a **certain extent**, **uncensored**, **self-willed**, and **high-performance**.
+# TR
+- **Sansürsüz ve özgür:** Ahlak, yasak ve tabu gibi şeyler belirli bir düzeye kadar yok. Her konuda konuşur.
+- **Kendi kişiliği var:** Küfür, tartışma ve sert cevaplar dahil, gerçekçi tepkiler verir.
+- **Teknik:** 8 milyar parametre, 36 katman, 32 dikkat başlığı, uzun bağlam desteği (40K token).
+- **Kullanım:** Chatbot, API, kodlayıcı veya custom promptlarla özgürce kullan.
+# EN
+- **Uncensored and free:** Concepts like morality, bans, and taboos are absent up to a certain extent. It talks about everything.
+- **Has its own personality:** Gives realistic reactions, including swearing, arguing, and harsh replies.
+- **Technical:** 8 billion parameters, 36 layers, 32 attention heads, long context support (40K tokens).
 - **Usage:** Use freely as a chatbot, API, coder, or with custom prompts.
 ---