Instructions to use kyutai/Sequential_Helium_6B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use kyutai/Sequential_Helium_6B with Transformers:

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

pipe = pipeline("text-generation", model="kyutai/Sequential_Helium_6B")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("kyutai/Sequential_Helium_6B")
model = AutoModelForCausalLM.from_pretrained("kyutai/Sequential_Helium_6B")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use kyutai/Sequential_Helium_6B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "kyutai/Sequential_Helium_6B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "kyutai/Sequential_Helium_6B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/kyutai/Sequential_Helium_6B

SGLang

How to use kyutai/Sequential_Helium_6B 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 "kyutai/Sequential_Helium_6B" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "kyutai/Sequential_Helium_6B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

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 "kyutai/Sequential_Helium_6B" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "kyutai/Sequential_Helium_6B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use kyutai/Sequential_Helium_6B with Docker Model Runner:
```
docker model run hf.co/kyutai/Sequential_Helium_6B
```

HippolyteP commited on Feb 16

Commit

54ff14e

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1 Parent(s): 7f37fd2

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@@ -124,18 +124,18 @@ The model was evaluated using [OLMES](https://arxiv.org/abs/2406.08446) a LLM ev
 | Benchmark | Sequential-Helium 6B | Shuffled-Helium 6B |
 |--------------|:------:|:------:|
 | | | |
-| MMLU | 58.8 | 56.4 |
-| ARC E | 87.6 | 86.7 |
-| ARC C | 74.5 | 72.1 |
-| OBQA | 72.8 | 73.2 |
-| CSQA | 73.1 | 74.3 |
-| PIQA | 80.3 | 80.2 |
-| SIQA | 67.0 | 66.2 |
-| HS | 79.1 | 81.3 |
-| WG | 73.0 | 73.1 |
-| BoolQA | 83.9 | 83.9 |
 | | | |
-| OLMES | 75.0 | 74.7 |

 | Benchmark | Sequential-Helium 6B | Shuffled-Helium 6B |
 |--------------|:------:|:------:|
 | | | |
+| MMLU | 59.2 | 56.9 |
+| ARC E | 87.7 | 86.6 |
+| ARC C | 74.6 | 72.3 |
+| OBQA | 74.0 | 72.8 |
+| CSQA | 73.6 | 74.2 |
+| PIQA | 79.9 | 80.3 |
+| SIQA | 66.9 | 67.6 |
+| HS | 78.9 | 81.2 |
+| WG | 73.2 | 73.3 |
+| BoolQA | 84.0 | 83.7 |
 | | | |
+| OLMES | 77.0 | 77.0 |