Instructions to use man-with-skills/gap-analysis-qwen3-merged with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use man-with-skills/gap-analysis-qwen3-merged with Transformers:

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

pipe = pipeline("text-generation", model="man-with-skills/gap-analysis-qwen3-merged")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("man-with-skills/gap-analysis-qwen3-merged")
model = AutoModelForCausalLM.from_pretrained("man-with-skills/gap-analysis-qwen3-merged", 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 man-with-skills/gap-analysis-qwen3-merged with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "man-with-skills/gap-analysis-qwen3-merged"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "man-with-skills/gap-analysis-qwen3-merged",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/man-with-skills/gap-analysis-qwen3-merged

SGLang

How to use man-with-skills/gap-analysis-qwen3-merged 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 "man-with-skills/gap-analysis-qwen3-merged" \
    --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": "man-with-skills/gap-analysis-qwen3-merged",
		"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 "man-with-skills/gap-analysis-qwen3-merged" \
        --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": "man-with-skills/gap-analysis-qwen3-merged",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Unsloth Desktop
Docker Model Runner
How to use man-with-skills/gap-analysis-qwen3-merged with Docker Model Runner:
```
docker model run hf.co/man-with-skills/gap-analysis-qwen3-merged
```

man-with-skills commited on Jul 9

Commit

98d9da2

verified ·

1 Parent(s): f43288d

(Trained with Unsloth)

Browse files

Files changed (1) hide show

config.json +28 -4

config.json CHANGED Viewed

@@ -10,7 +10,7 @@
     "hidden_act": "silu",
     "hidden_size": 5120,
     "initializer_range": 0.02,
-    "intermediate_size": 17408,
     "layer_types": [
         "full_attention",
         "full_attention",
@@ -51,13 +51,37 @@
         "full_attention",
         "full_attention",
         "full_attention",
         "full_attention"
     ],
     "max_position_embeddings": 40960,
-    "max_window_layers": 40,
     "model_type": "qwen3",
-    "num_attention_heads": 40,
-    "num_hidden_layers": 40,
     "num_key_value_heads": 8,
     "pad_token_id": 151654,
     "rms_norm_eps": 1e-06,

     "hidden_act": "silu",
     "hidden_size": 5120,
     "initializer_range": 0.02,
+    "intermediate_size": 25600,
     "layer_types": [
         "full_attention",
         "full_attention",
         "full_attention",
         "full_attention",
         "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
         "full_attention"
     ],
     "max_position_embeddings": 40960,
+    "max_window_layers": 64,
     "model_type": "qwen3",
+    "num_attention_heads": 64,
+    "num_hidden_layers": 64,
     "num_key_value_heads": 8,
     "pad_token_id": 151654,
     "rms_norm_eps": 1e-06,