Instructions to use davidkim205/hades-9b-stockname with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use davidkim205/hades-9b-stockname with Transformers:

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

pipe = pipeline("text-generation", model="davidkim205/hades-9b-stockname")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("davidkim205/hades-9b-stockname")
model = AutoModelForCausalLM.from_pretrained("davidkim205/hades-9b-stockname")
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 davidkim205/hades-9b-stockname with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "davidkim205/hades-9b-stockname"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "davidkim205/hades-9b-stockname",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/davidkim205/hades-9b-stockname

SGLang

How to use davidkim205/hades-9b-stockname 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 "davidkim205/hades-9b-stockname" \
    --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": "davidkim205/hades-9b-stockname",
		"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 "davidkim205/hades-9b-stockname" \
        --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": "davidkim205/hades-9b-stockname",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use davidkim205/hades-9b-stockname with Docker Model Runner:
```
docker model run hf.co/davidkim205/hades-9b-stockname
```

You need to agree to share your contact information to access this model

This repository is publicly accessible, but you have to accept the conditions to access its files and content.

davidkim205/hades-9b-stockname

License

Use of this model requires company approval. Please contact AI@2digit.io. For more details, please refer to the website below: https://2digit.io/#contactus

Evaluation

	task	file	score	1(34)	2(9)	3(6)	4(3)	5(3)	7(2)	6(1)	8(1)	15(1)
0	stockname	hades-9b-stockname-stockname_testset.jsonl	0.86	0.82	1	0.89	1	0.87	0.5	0.86	1	0.2
1	stockname	gemma-2-9b-it-sft_stockname-sft-lora-8192-lr1e-5-e10-b1-stockname_testset.jsonl	0.82	0.76	1	0.94	1	0.87	0.33	0.93	0.88	0.13
2	stockname	Llama-3.2-1B-Instruct-sft_stockname-sft-lora-8192-lr1e-5-e10-b1-stockname_testset.jsonl	0.75	0.71	0.89	0.83	0.83	0.8	0.5	0.71	0.88	0.07
3	stockname	Llama-3.2-3B-Instruct-sft_stockname-sft-lora-8192-lr1e-5-e10-b1-stockname_testset.jsonl	0.75	0.68	0.94	0.89	0.83	0.93	0.33	0.79	1	0.07
4	stockname	hades-7b-stockname_testset.jsonl	0.68	0.62	0.83	0.72	0.75	0.53	0.5	0.93	0.88	0.93
5	stockname	Mistral-7B-Instruct-v0.2-stockname_103k-sft-lora-stockname_testset.jsonl	0.61	0.59	0.83	0.78	0.33	0.2	0.83	0.57	0.88	0.2

Downloads last month: -

Safetensors

Model size

9B params

Tensor type

BF16