Instructions to use kuotient/EEVE-Instruct-Math-10.8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use kuotient/EEVE-Instruct-Math-10.8B with Transformers:

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

pipe = pipeline("text-generation", model="kuotient/EEVE-Instruct-Math-10.8B")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("kuotient/EEVE-Instruct-Math-10.8B")
model = AutoModelForCausalLM.from_pretrained("kuotient/EEVE-Instruct-Math-10.8B")
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]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use kuotient/EEVE-Instruct-Math-10.8B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "kuotient/EEVE-Instruct-Math-10.8B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "kuotient/EEVE-Instruct-Math-10.8B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/kuotient/EEVE-Instruct-Math-10.8B

SGLang

How to use kuotient/EEVE-Instruct-Math-10.8B 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 "kuotient/EEVE-Instruct-Math-10.8B" \
    --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": "kuotient/EEVE-Instruct-Math-10.8B",
		"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 "kuotient/EEVE-Instruct-Math-10.8B" \
        --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": "kuotient/EEVE-Instruct-Math-10.8B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use kuotient/EEVE-Instruct-Math-10.8B with Docker Model Runner:
```
docker model run hf.co/kuotient/EEVE-Instruct-Math-10.8B
```

kuotient commited on Mar 28, 2024

Commit

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@@ -89,6 +89,6 @@ lm_eval --model hf \
 | Model | gsm8k(pass@1) | boolq(acc) | copa(acc) | hellaswag(acc) | Overall |
 |---|---|---|---|---|---|
 | yanolja/EEVE-Korean-10.8B-v1.0 | 0.4049 | - | - | - | - | - |
-| yanolja/EEVE-Korean-Instruct-10.8B-v1.0 | 0.4511 | **0.8668** | **0.7450** | **0.4940** | 0.6392 |
 | [**EEVE-Math-10.8B**](https://huggingface.co/kuotient/EEVE-Math-10.8B) | **0.5390** | 0.8027 | 0.7260 | 0.4760 | 0.6359 |
-| **EEVE-Instruct-Math-10.8B** | 0.4845 | 0.8519 | 0.7410 | 0.4980 | **0.6439** |

 | Model | gsm8k(pass@1) | boolq(acc) | copa(acc) | hellaswag(acc) | Overall |
 |---|---|---|---|---|---|
 | yanolja/EEVE-Korean-10.8B-v1.0 | 0.4049 | - | - | - | - | - |
+| yanolja/EEVE-Korean-Instruct-10.8B-v1.0 | 0.4511 | **0.8668** | **0.7450** | 0.4940 | 0.6392 |
 | [**EEVE-Math-10.8B**](https://huggingface.co/kuotient/EEVE-Math-10.8B) | **0.5390** | 0.8027 | 0.7260 | 0.4760 | 0.6359 |
+| **EEVE-Instruct-Math-10.8B** | 0.4845 | 0.8519 | 0.7410 | **0.4980** | **0.6439** |