Instructions to use YeonwooSung/Neos-Gemma-2-9b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use YeonwooSung/Neos-Gemma-2-9b with Transformers:

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

pipe = pipeline("text-generation", model="YeonwooSung/Neos-Gemma-2-9b")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("YeonwooSung/Neos-Gemma-2-9b")
model = AutoModelForCausalLM.from_pretrained("YeonwooSung/Neos-Gemma-2-9b", 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 YeonwooSung/Neos-Gemma-2-9b with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "YeonwooSung/Neos-Gemma-2-9b"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "YeonwooSung/Neos-Gemma-2-9b",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/YeonwooSung/Neos-Gemma-2-9b

SGLang

How to use YeonwooSung/Neos-Gemma-2-9b 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 "YeonwooSung/Neos-Gemma-2-9b" \
    --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": "YeonwooSung/Neos-Gemma-2-9b",
		"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 "YeonwooSung/Neos-Gemma-2-9b" \
        --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": "YeonwooSung/Neos-Gemma-2-9b",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use YeonwooSung/Neos-Gemma-2-9b with Docker Model Runner:
```
docker model run hf.co/YeonwooSung/Neos-Gemma-2-9b
```

Yeonwoo Sung commited on Nov 12, 2024

Commit

76e109f

verified ·

1 Parent(s): 459bec6

Update README.md

Browse files

Files changed (1) hide show

README.md +19 -9

README.md CHANGED Viewed

@@ -1,6 +1,5 @@
 ---
 library_name: transformers
-tags: []
 model-index:
 - name: Neos-Gemma-2-9b
   results:
@@ -17,7 +16,8 @@ model-index:
       value: 58.76
       name: strict accuracy
     source:
-      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=BlackBeenie/Neos-Gemma-2-9b
       name: Open LLM Leaderboard
   - task:
       type: text-generation
@@ -32,7 +32,8 @@ model-index:
       value: 35.64
       name: normalized accuracy
     source:
-      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=BlackBeenie/Neos-Gemma-2-9b
       name: Open LLM Leaderboard
   - task:
       type: text-generation
@@ -47,7 +48,8 @@ model-index:
       value: 8.23
       name: exact match
     source:
-      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=BlackBeenie/Neos-Gemma-2-9b
       name: Open LLM Leaderboard
   - task:
       type: text-generation
@@ -62,7 +64,8 @@ model-index:
       value: 9.73
       name: acc_norm
     source:
-      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=BlackBeenie/Neos-Gemma-2-9b
       name: Open LLM Leaderboard
   - task:
       type: text-generation
@@ -77,7 +80,8 @@ model-index:
       value: 5.79
       name: acc_norm
     source:
-      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=BlackBeenie/Neos-Gemma-2-9b
       name: Open LLM Leaderboard
   - task:
       type: text-generation
@@ -94,8 +98,15 @@ model-index:
       value: 33.12
       name: accuracy
     source:
-      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=BlackBeenie/Neos-Gemma-2-9b
       name: Open LLM Leaderboard
 ---
 # Model Card for Model ID
@@ -122,5 +133,4 @@ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-le
 |MATH Lvl 5 (4-Shot)| 8.23|
 |GPQA (0-shot)      | 9.73|
 |MuSR (0-shot)      | 5.79|
-|MMLU-PRO (5-shot)  |33.12|

 ---
 library_name: transformers
 model-index:
 - name: Neos-Gemma-2-9b
   results:
       value: 58.76
       name: strict accuracy
     source:
+      url: >-
+        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=BlackBeenie/Neos-Gemma-2-9b
       name: Open LLM Leaderboard
   - task:
       type: text-generation
       value: 35.64
       name: normalized accuracy
     source:
+      url: >-
+        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=BlackBeenie/Neos-Gemma-2-9b
       name: Open LLM Leaderboard
   - task:
       type: text-generation
       value: 8.23
       name: exact match
     source:
+      url: >-
+        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=BlackBeenie/Neos-Gemma-2-9b
       name: Open LLM Leaderboard
   - task:
       type: text-generation
       value: 9.73
       name: acc_norm
     source:
+      url: >-
+        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=BlackBeenie/Neos-Gemma-2-9b
       name: Open LLM Leaderboard
   - task:
       type: text-generation
       value: 5.79
       name: acc_norm
     source:
+      url: >-
+        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=BlackBeenie/Neos-Gemma-2-9b
       name: Open LLM Leaderboard
   - task:
       type: text-generation
       value: 33.12
       name: accuracy
     source:
+      url: >-
+        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=BlackBeenie/Neos-Gemma-2-9b
       name: Open LLM Leaderboard
+license: apache-2.0
+language:
+- en
+base_model:
+- google/gemma-2-9b-it
+pipeline_tag: text-generation
 ---
 # Model Card for Model ID
 |MATH Lvl 5 (4-Shot)| 8.23|
 |GPQA (0-shot)      | 9.73|
 |MuSR (0-shot)      | 5.79|
+|MMLU-PRO (5-shot)  |33.12|