Instructions to use normalcomputing/extended-mind-mpt-7b-chat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use normalcomputing/extended-mind-mpt-7b-chat with Transformers:

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

pipe = pipeline("text-generation", model="normalcomputing/extended-mind-mpt-7b-chat", trust_remote_code=True)

# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("normalcomputing/extended-mind-mpt-7b-chat", trust_remote_code=True, dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use normalcomputing/extended-mind-mpt-7b-chat with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/normalcomputing/extended-mind-mpt-7b-chat

SGLang

How to use normalcomputing/extended-mind-mpt-7b-chat 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 "normalcomputing/extended-mind-mpt-7b-chat" \
    --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": "normalcomputing/extended-mind-mpt-7b-chat",
		"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 "normalcomputing/extended-mind-mpt-7b-chat" \
        --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": "normalcomputing/extended-mind-mpt-7b-chat",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use normalcomputing/extended-mind-mpt-7b-chat with Docker Model Runner:
```
docker model run hf.co/normalcomputing/extended-mind-mpt-7b-chat
```

phoebeklett commited on Oct 31, 2023

Commit

4982797

1 Parent(s): 0f40f95

Update README.md

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@@ -4,17 +4,17 @@
 {}
 ---
-# Model Card for Extended-Mind-MPT-7b
 <!-- Provide a quick summary of what the model is/does. -->
-Extended Mind MPT-7b, as described in [Supersizing Transformers](https://blog.normalcomputing.ai/posts/2023-09-12-supersizing-transformers/supersizing-transformers.html).
 ### Model Description
 <!-- Provide a longer summary of what this model is. -->
-This model implements active externalism for MPT's 7b model. The model weights have not been edited. Original architecture and code by Mosaic ML.
 For more details on active externalism, check out our [blog](https://blog.normalcomputing.ai/posts/2023-09-12-supersizing-transformers/supersizing-transformers.html)!

 {}
 ---
+# Model Card for Extended-Mind-MPT-7b-Chat
 <!-- Provide a quick summary of what the model is/does. -->
+Extended Mind MPT-7b-chat, as described in [Supersizing Transformers](https://blog.normalcomputing.ai/posts/2023-09-12-supersizing-transformers/supersizing-transformers.html).
 ### Model Description
 <!-- Provide a longer summary of what this model is. -->
+This model implements active externalism for MPT's 7b chat model. The model weights have not been edited. Original architecture and code by Mosaic ML.
 For more details on active externalism, check out our [blog](https://blog.normalcomputing.ai/posts/2023-09-12-supersizing-transformers/supersizing-transformers.html)!