Instructions to use MaziyarPanahi/NeuralPipe-7B-slerp-v0.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use MaziyarPanahi/NeuralPipe-7B-slerp-v0.2 with Transformers:

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

pipe = pipeline("text-generation", model="MaziyarPanahi/NeuralPipe-7B-slerp-v0.2")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("MaziyarPanahi/NeuralPipe-7B-slerp-v0.2")
model = AutoModelForCausalLM.from_pretrained("MaziyarPanahi/NeuralPipe-7B-slerp-v0.2", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use MaziyarPanahi/NeuralPipe-7B-slerp-v0.2 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "MaziyarPanahi/NeuralPipe-7B-slerp-v0.2"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "MaziyarPanahi/NeuralPipe-7B-slerp-v0.2",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/MaziyarPanahi/NeuralPipe-7B-slerp-v0.2

SGLang

How to use MaziyarPanahi/NeuralPipe-7B-slerp-v0.2 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 "MaziyarPanahi/NeuralPipe-7B-slerp-v0.2" \
    --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": "MaziyarPanahi/NeuralPipe-7B-slerp-v0.2",
		"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 "MaziyarPanahi/NeuralPipe-7B-slerp-v0.2" \
        --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": "MaziyarPanahi/NeuralPipe-7B-slerp-v0.2",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use MaziyarPanahi/NeuralPipe-7B-slerp-v0.2 with Docker Model Runner:
```
docker model run hf.co/MaziyarPanahi/NeuralPipe-7B-slerp-v0.2
```

MaziyarPanahi commited on Jan 11, 2024

Commit

aa6ac75

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1 Parent(s): edc75e6

Update README.md

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README.md CHANGED Viewed

@@ -14,6 +14,32 @@ NeuralPipe-7B-slerp-v0.2 is a merge of the following models:
 * [OpenPipe/mistral-ft-optimized-1227](https://huggingface.co/OpenPipe/mistral-ft-optimized-1227)
 * [mlabonne/NeuralHermes-2.5-Mistral-7B](https://huggingface.co/mlabonne/NeuralHermes-2.5-Mistral-7B)
 ## 🧩 Configuration
 ```yaml

 * [OpenPipe/mistral-ft-optimized-1227](https://huggingface.co/OpenPipe/mistral-ft-optimized-1227)
 * [mlabonne/NeuralHermes-2.5-Mistral-7B](https://huggingface.co/mlabonne/NeuralHermes-2.5-Mistral-7B)
+## Eval
+```
+|      Groups      |Version|Filter|n-shot|  Metric   | Value |   |Stderr|
+|------------------|-------|------|-----:|-----------|------:|---|-----:|
+|ai2_arc           |N/A    |none  |     0|acc        | 0.7554|±  |0.0406|
+|                  |       |none  |     0|acc_norm   | 0.7573|±  |0.0332|
+|mmlu              |N/A    |none  |     0|acc        | 0.6188|±  |0.1472|
+| - humanities     |N/A    |none  |     0|acc        | 0.5645|±  |0.1686|
+| - other          |N/A    |none  |     0|acc        | 0.6987|±  |0.1098|
+| - social_sciences|N/A    |none  |     0|acc        | 0.7215|±  |0.0887|
+| - stem           |N/A    |none  |     0|acc        | 0.5208|±  |0.1392|
+|truthfulqa        |N/A    |none  |     0|acc        | 0.4746|±  |0.0024|
+|                  |       |none  |     0|bleu_max   |26.7118|±  |0.8092|
+|                  |       |none  |     0|bleu_acc   | 0.4957|±  |0.0175|
+|                  |       |none  |     0|bleu_diff  | 3.1016|±  |0.8065|
+|                  |       |none  |     0|rouge1_max |53.1171|±  |0.8499|
+|                  |       |none  |     0|rouge1_acc | 0.5055|±  |0.0175|
+|                  |       |none  |     0|rouge1_diff| 4.0629|±  |1.0345|
+|                  |       |none  |     0|rouge2_max |39.1331|±  |1.0068|
+|                  |       |none  |     0|rouge2_acc | 0.4492|±  |0.0174|
+|                  |       |none  |     0|rouge2_diff| 3.7457|±  |1.1652|
+|                  |       |none  |     0|rougeL_max |49.8547|±  |0.8818|
+|                  |       |none  |     0|rougeL_acc | 0.5006|±  |0.0175|
+|                  |       |none  |     0|rougeL_diff| 3.6422|±  |1.0540|
+```
 ## 🧩 Configuration
 ```yaml