Instructions to use Hachipo/qwen2.5-0.5B_educational_instruct_pythonblock_en_1000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Hachipo/qwen2.5-0.5B_educational_instruct_pythonblock_en_1000 with Transformers:

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

pipe = pipeline("text-generation", model="Hachipo/qwen2.5-0.5B_educational_instruct_pythonblock_en_1000")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Hachipo/qwen2.5-0.5B_educational_instruct_pythonblock_en_1000")
model = AutoModelForCausalLM.from_pretrained("Hachipo/qwen2.5-0.5B_educational_instruct_pythonblock_en_1000")
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]:]))

Inference
Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Hachipo/qwen2.5-0.5B_educational_instruct_pythonblock_en_1000 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Hachipo/qwen2.5-0.5B_educational_instruct_pythonblock_en_1000"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Hachipo/qwen2.5-0.5B_educational_instruct_pythonblock_en_1000",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Hachipo/qwen2.5-0.5B_educational_instruct_pythonblock_en_1000

SGLang

How to use Hachipo/qwen2.5-0.5B_educational_instruct_pythonblock_en_1000 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 "Hachipo/qwen2.5-0.5B_educational_instruct_pythonblock_en_1000" \
    --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": "Hachipo/qwen2.5-0.5B_educational_instruct_pythonblock_en_1000",
		"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 "Hachipo/qwen2.5-0.5B_educational_instruct_pythonblock_en_1000" \
        --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": "Hachipo/qwen2.5-0.5B_educational_instruct_pythonblock_en_1000",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Hachipo/qwen2.5-0.5B_educational_instruct_pythonblock_en_1000 with Docker Model Runner:
```
docker model run hf.co/Hachipo/qwen2.5-0.5B_educational_instruct_pythonblock_en_1000
```

Hachipo commited on Dec 23, 2024

Commit

6dfd4ca

verified ·

1 Parent(s): 30edc15

Upload Qwen2ForCausalLM

Browse files

Files changed (4) hide show

README.md +3 -1
config.json +30 -0
generation_config.json +6 -0
model.safetensors +3 -0

README.md CHANGED Viewed

@@ -1,6 +1,8 @@
 ---
 library_name: transformers
-tags: []
 ---
 # Model Card for Model ID

 ---
 library_name: transformers
+tags:
+- trl
+- sft
 ---
 # Model Card for Model ID

config.json ADDED Viewed

	@@ -0,0 +1,30 @@

+{
+  "_name_or_path": "Qwen/Qwen2.5-0.5B",
+  "architectures": [
+    "Qwen2ForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "eos_token_id": 151643,
+  "hidden_act": "silu",
+  "hidden_size": 896,
+  "initializer_range": 0.02,
+  "intermediate_size": 4864,
+  "max_position_embeddings": 32768,
+  "max_window_layers": 24,
+  "model_type": "qwen2",
+  "num_attention_heads": 14,
+  "num_hidden_layers": 24,
+  "num_key_value_heads": 2,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 1000000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.47.1",
+  "use_cache": true,
+  "use_mrope": false,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}

generation_config.json ADDED Viewed

	@@ -0,0 +1,6 @@

+{
+  "bos_token_id": 151643,
+  "eos_token_id": 151643,
+  "max_new_tokens": 2048,
+  "transformers_version": "4.47.1"
+}

model.safetensors ADDED Viewed

	@@ -0,0 +1,3 @@

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