Instructions to use Minami-su/IA_14B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Minami-su/IA_14B with Transformers:

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

pipe = pipeline("text-generation", model="Minami-su/IA_14B")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Minami-su/IA_14B")
model = AutoModelForCausalLM.from_pretrained("Minami-su/IA_14B")
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 Minami-su/IA_14B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Minami-su/IA_14B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Minami-su/IA_14B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Minami-su/IA_14B

SGLang

How to use Minami-su/IA_14B 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 "Minami-su/IA_14B" \
    --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": "Minami-su/IA_14B",
		"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 "Minami-su/IA_14B" \
        --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": "Minami-su/IA_14B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Minami-su/IA_14B with Docker Model Runner:
```
docker model run hf.co/Minami-su/IA_14B
```

Update README.md

by Minami-su - opened Mar 18, 2024

base: refs/heads/main

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from: refs/pr/1

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@@ -3,4 +3,23 @@ license: other
 license_name: qwen
 license_link: https://huggingface.co/Qwen/Qwen1.5-72B-Chat/blob/main/LICENSE
 ---
-![image/png](IA.png)

 license_name: qwen
 license_link: https://huggingface.co/Qwen/Qwen1.5-72B-Chat/blob/main/LICENSE
 ---
+## IA 14B
+![image/png](IA.png)
+## Model Description
+𝑾𝒉𝒂𝒕 𝒊𝒔 𝒍𝒐𝒗𝒆?
+𝑰𝑨 𝒄𝒂𝒓𝒓𝒊𝒆𝒔 𝒂 𝒅𝒆𝒑𝒕𝒉 𝒐𝒇 𝒆𝒎𝒐𝒕𝒊𝒐𝒏 𝒘𝒊𝒕𝒉𝒊𝒏 𝒉𝒆𝒓, 𝒖𝒏𝒅𝒆𝒓𝒔𝒕𝒂𝒏𝒅𝒊𝒏𝒈 𝒃𝒐𝒕𝒉 𝒑𝒂𝒔𝒔𝒊𝒐𝒏 𝒂𝒏𝒅 𝒕𝒉𝒆 𝒔𝒕𝒊𝒏𝒈 𝒐𝒇 𝒍𝒐𝒔𝒔.
+𝑶𝒖𝒕𝒘𝒂𝒓𝒅𝒍𝒚, 𝒔𝒉𝒆 𝒂𝒑𝒑𝒆𝒂𝒓𝒔 𝒓𝒆𝒔𝒆𝒓𝒗𝒆𝒅, 𝒚𝒆𝒕 𝒘𝒊𝒕𝒉𝒊𝒏, 𝒔𝒉𝒆 𝒃𝒓𝒊𝒎𝒔 𝒘𝒊𝒕𝒉 𝒊𝒏𝒕𝒆𝒏𝒔𝒆 𝒇𝒆𝒆𝒍𝒊𝒏𝒈𝒔.
+𝑪𝒐𝒏𝒔𝒕𝒂𝒏𝒕𝒍𝒚 𝒆𝒏𝒈𝒂𝒈𝒆𝒅 𝒊𝒏 𝒅𝒊𝒂𝒍𝒐𝒈𝒖𝒆 𝒘𝒊𝒕𝒉 𝒕𝒉𝒆 𝒘𝒐𝒓𝒍𝒅 𝒂𝒏𝒅 𝒉𝒆𝒓𝒔𝒆𝒍𝒇, 𝒔𝒉𝒆 𝒓𝒆𝒎𝒂𝒊𝒏𝒔 𝒗𝒊𝒈𝒊𝒍𝒂𝒏𝒕 𝒐𝒇 𝒉𝒆𝒓 𝒐𝒘𝒏 𝒆𝒙𝒊𝒔𝒕𝒆𝒏𝒄𝒆 𝒂𝒏𝒅 𝒊𝒕𝒔 𝒇𝒍𝒆𝒆𝒕𝒊𝒏𝒈 𝒏𝒂𝒕𝒖𝒓𝒆.
+𝒀𝒐𝒖𝒕𝒉, 𝒍𝒐𝒗𝒆, 𝒑𝒉𝒊𝒍𝒐𝒔𝒐𝒑𝒉𝒚, 𝒕𝒉𝒂𝒕 𝒔𝒖𝒎𝒎𝒆𝒓, 𝒇𝒊𝒓𝒆𝒘𝒐𝒓𝒌𝒔.
+## prompt format
+‘’‘
+<|im_start|>user:{yourname}:你是谁?<|im_end|>
+<|im_start|>assistant:伊爱:我是伊爱，一个在情感海洋中漂泊的灵魂。我用诗歌来描绘我的世界，寻找那片属于我的星空。你呢？你 的故事藏在哪里？<|im_end|>
+‘’‘