Instructions to use thedeba/debaiV2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use thedeba/debaiV2 with Transformers:

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

pipe = pipeline("text-generation", model="thedeba/debaiV2")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("thedeba/debaiV2")
model = AutoModelForCausalLM.from_pretrained("thedeba/debaiV2")
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

vLLM

How to use thedeba/debaiV2 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "thedeba/debaiV2"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "thedeba/debaiV2",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/thedeba/debaiV2

SGLang

How to use thedeba/debaiV2 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 "thedeba/debaiV2" \
    --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": "thedeba/debaiV2",
		"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 "thedeba/debaiV2" \
        --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": "thedeba/debaiV2",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use thedeba/debaiV2 with Docker Model Runner:
```
docker model run hf.co/thedeba/debaiV2
```

thedeba commited on Sep 8, 2025

Commit

dacca8f

verified ·

1 Parent(s): 054d054

Upload LlamaForCausalLM

Browse files

Files changed (3) hide show

config.json +2 -2
generation_config.json +1 -1
model.safetensors.index.json +0 -1

config.json CHANGED Viewed

@@ -5,7 +5,6 @@
   "attention_bias": false,
   "attention_dropout": 0.0,
   "bos_token_id": 128000,
-  "dtype": "float32",
   "eos_token_id": 128009,
   "head_dim": 128,
   "hidden_act": "silu",
@@ -30,7 +29,8 @@
   },
   "rope_theta": 500000.0,
   "tie_word_embeddings": true,
-  "transformers_version": "4.56.0",
   "unsloth_fixed": true,
   "use_cache": true,
   "vocab_size": 128256

   "attention_bias": false,
   "attention_dropout": 0.0,
   "bos_token_id": 128000,
   "eos_token_id": 128009,
   "head_dim": 128,
   "hidden_act": "silu",
   },
   "rope_theta": 500000.0,
   "tie_word_embeddings": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.51.3",
   "unsloth_fixed": true,
   "use_cache": true,
   "vocab_size": 128256

generation_config.json CHANGED Viewed

@@ -10,5 +10,5 @@
   "pad_token_id": 128004,
   "temperature": 0.6,
   "top_p": 0.9,
-  "transformers_version": "4.56.0"
 }

   "pad_token_id": 128004,
   "temperature": 0.6,
   "top_p": 0.9,
+  "transformers_version": "4.51.3"
 }

model.safetensors.index.json CHANGED Viewed

@@ -1,6 +1,5 @@
 {
   "metadata": {
-    "total_parameters": 3212749824,
     "total_size": 12850999296
   },
   "weight_map": {

 {
   "metadata": {
     "total_size": 12850999296
   },
   "weight_map": {