Instructions to use suayptalha/Sungur-3x9B-Cosmos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use suayptalha/Sungur-3x9B-Cosmos with Transformers:

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

pipe = pipeline("text-generation", model="suayptalha/Sungur-3x9B-Cosmos", trust_remote_code=True)
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("suayptalha/Sungur-3x9B-Cosmos", trust_remote_code=True, device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use suayptalha/Sungur-3x9B-Cosmos with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "suayptalha/Sungur-3x9B-Cosmos"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "suayptalha/Sungur-3x9B-Cosmos",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/suayptalha/Sungur-3x9B-Cosmos

SGLang

How to use suayptalha/Sungur-3x9B-Cosmos 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 "suayptalha/Sungur-3x9B-Cosmos" \
    --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": "suayptalha/Sungur-3x9B-Cosmos",
		"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 "suayptalha/Sungur-3x9B-Cosmos" \
        --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": "suayptalha/Sungur-3x9B-Cosmos",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use suayptalha/Sungur-3x9B-Cosmos with Docker Model Runner:
```
docker model run hf.co/suayptalha/Sungur-3x9B-Cosmos
```

suayptalha commited on Dec 2, 2025

Commit

0ed1c8e

verified ·

1 Parent(s): aaf5aa5

Update config.json

Browse files

Files changed (1) hide show

config.json +3 -3

config.json CHANGED Viewed

@@ -6,8 +6,8 @@
   "attention_dropout": 0.0,
   "attn_logit_soft_capping": 50.0,
   "auto_map": {
-    "AutoConfig": "suayptalha/turkish-gemmoe2-cosmos-base--configuration_gemma2moe.Gemma2MoeConfig",
-    "AutoModelForCausalLM": "suayptalha/turkish-gemmoe2-cosmos-base--modeling_gemma2moe.Gemma2MoeForCausalLM"
   },
   "bos_token_id": 2,
   "dtype": "bfloat16",
@@ -27,7 +27,7 @@
   "num_local_experts": 3,
   "output_router_logits": false,
   "pad_token_id": 0,
-  "path": "suayptalha/turkish-gemmoe2-cosmos-base",
   "query_pre_attn_scalar": 256,
   "rms_norm_eps": 1e-06,
   "rope_theta": 10000.0,

   "attention_dropout": 0.0,
   "attn_logit_soft_capping": 50.0,
   "auto_map": {
+    "AutoConfig": "suayptalha/turkish-gemmoe-cosmos-base-router-tuned--configuration_gemma2moe.Gemma2MoeConfig",
+    "AutoModelForCausalLM": "suayptalha/turkish-gemmoe-cosmos-base-router-tuned--modeling_gemma2moe.Gemma2MoeForCausalLM"
   },
   "bos_token_id": 2,
   "dtype": "bfloat16",
   "num_local_experts": 3,
   "output_router_logits": false,
   "pad_token_id": 0,
+  "path": "suayptalha/turkish-gemmoe-cosmos-base-router-tuned",
   "query_pre_attn_scalar": 256,
   "rms_norm_eps": 1e-06,
   "rope_theta": 10000.0,