Instructions to use tinycompany/Qwentify-No-Global with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use tinycompany/Qwentify-No-Global with Transformers:

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

pipe = pipeline("text-generation", model="tinycompany/Qwentify-No-Global")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("tinycompany/Qwentify-No-Global")
model = AutoModelForCausalLM.from_pretrained("tinycompany/Qwentify-No-Global", 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 tinycompany/Qwentify-No-Global with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "tinycompany/Qwentify-No-Global"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "tinycompany/Qwentify-No-Global",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/tinycompany/Qwentify-No-Global

SGLang

How to use tinycompany/Qwentify-No-Global 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 "tinycompany/Qwentify-No-Global" \
    --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": "tinycompany/Qwentify-No-Global",
		"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 "tinycompany/Qwentify-No-Global" \
        --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": "tinycompany/Qwentify-No-Global",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use tinycompany/Qwentify-No-Global with Docker Model Runner:
```
docker model run hf.co/tinycompany/Qwentify-No-Global
```

fhai50032 commited on Apr 7, 2025

Commit

db94dfb

verified ·

1 Parent(s): f10a209

Upload Qwen2ForCausalLM

Browse files

Files changed (4) hide show

config.json +3 -2
generation_config.json +2 -10
model-00001-of-00002.safetensors +1 -1
model-00002-of-00002.safetensors +1 -1

config.json CHANGED Viewed

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "Qwen/Qwen2.5-3B-Instruct",
   "architectures": [
     "Qwen2ForCausalLM"
   ],
@@ -11,7 +11,7 @@
   "initializer_range": 0.02,
   "intermediate_size": 11008,
   "max_position_embeddings": 32768,
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   "model_type": "qwen2",
   "num_attention_heads": 16,
   "num_hidden_layers": 36,
@@ -25,6 +25,7 @@
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   "transformers_version": "4.47.0",
   "use_cache": true,
   "use_sliding_window": false,
   "vocab_size": 81920
 }

 {
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   "intermediate_size": 11008,
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   "num_hidden_layers": 36,
   "torch_dtype": "bfloat16",
   "transformers_version": "4.47.0",
   "use_cache": true,
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   "use_sliding_window": false,
   "vocab_size": 81920
 }

generation_config.json CHANGED Viewed

@@ -1,14 +1,6 @@
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-  "top_k": 20,
-  "top_p": 0.8,
   "transformers_version": "4.47.0"
 }

 {
   "bos_token_id": 151643,
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   "transformers_version": "4.47.0"
 }

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