Instructions to use NECOUDBFM/Jellyfish-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use NECOUDBFM/Jellyfish-8B with Transformers:

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

pipe = pipeline("text-generation", model="NECOUDBFM/Jellyfish-8B")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForMultimodalLM

tokenizer = AutoTokenizer.from_pretrained("NECOUDBFM/Jellyfish-8B")
model = AutoModelForMultimodalLM.from_pretrained("NECOUDBFM/Jellyfish-8B")
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 NECOUDBFM/Jellyfish-8B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "NECOUDBFM/Jellyfish-8B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "NECOUDBFM/Jellyfish-8B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/NECOUDBFM/Jellyfish-8B

SGLang

How to use NECOUDBFM/Jellyfish-8B 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 "NECOUDBFM/Jellyfish-8B" \
    --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": "NECOUDBFM/Jellyfish-8B",
		"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 "NECOUDBFM/Jellyfish-8B" \
        --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": "NECOUDBFM/Jellyfish-8B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use NECOUDBFM/Jellyfish-8B with Docker Model Runner:
```
docker model run hf.co/NECOUDBFM/Jellyfish-8B
```

yuyangdong commited on May 21, 2024

Commit

783ac46

verified ·

1 Parent(s): f43388e

Update README.md

Browse files

updatet Jellyfish-8B unseen task scores

Files changed (1) hide show

README.md +3 -3

README.md CHANGED Viewed

@@ -74,7 +74,7 @@ _Accuracy as the metric for data imputation and the F1 score for other tasks._
 | Dataset | RoBERTa (159 shots)<sup>1</sup> | GPT-3.5<sup>1</sup> | GPT-4 | Jellfish-13B| Jellyfish-7B |   Jellyfish-8B |
 | ---- | ---- | ---- | ---- | ---- | ----|----|
-| SOTAB | 79.20 | 89.47 | 91.55 | 82.00 | 80.89 |
 _Few-shot is disabled for Jellyfish-13B._
@@ -84,8 +84,8 @@ _Few-shot is disabled for Jellyfish-13B._
 | Dataset |Stable Beluga 2 70B<sup>1</sup> | SOLAR 70B<sup>1</sup> | GPT-3.5<sup>1</sup> | GPT-4 <sup>1</sup>| Jellfish-13B | Jellyfish-7B|   Jellyfish-8B |
 | ---- | ---- | ---- | ---- | ---- | ---- | ----| ----|
-| AE-110k | 52.10 | 49.20 | 61.30 | 55.50 | 58.12 | 76.85|
-| OA-Mine | 50.80 | 55.20 | 62.70 | 68.90 | 55.96 | 76.04|
 ## Prompt Template

 | Dataset | RoBERTa (159 shots)<sup>1</sup> | GPT-3.5<sup>1</sup> | GPT-4 | Jellfish-13B| Jellyfish-7B |   Jellyfish-8B |
 | ---- | ---- | ---- | ---- | ---- | ----|----|
+| SOTAB | 79.20 | 89.47 | 91.55 | 82.00 | 80.89 | 67.21|
 _Few-shot is disabled for Jellyfish-13B._
 | Dataset |Stable Beluga 2 70B<sup>1</sup> | SOLAR 70B<sup>1</sup> | GPT-3.5<sup>1</sup> | GPT-4 <sup>1</sup>| Jellfish-13B | Jellyfish-7B|   Jellyfish-8B |
 | ---- | ---- | ---- | ---- | ---- | ---- | ----| ----|
+| AE-110k | 52.10 | 49.20 | 61.30 | 55.50 | 58.12 | 76.85| 69.78|
+| OA-Mine | 50.80 | 55.20 | 62.70 | 68.90 | 55.96 | 76.04| 78.83|
 ## Prompt Template