Instructions to use ABX-AI/Cerebral-Infinity-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use ABX-AI/Cerebral-Infinity-7B with Transformers:

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

pipe = pipeline("text-generation", model="ABX-AI/Cerebral-Infinity-7B")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("ABX-AI/Cerebral-Infinity-7B")
model = AutoModelForCausalLM.from_pretrained("ABX-AI/Cerebral-Infinity-7B", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use ABX-AI/Cerebral-Infinity-7B with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/ABX-AI/Cerebral-Infinity-7B

SGLang

How to use ABX-AI/Cerebral-Infinity-7B 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 "ABX-AI/Cerebral-Infinity-7B" \
    --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": "ABX-AI/Cerebral-Infinity-7B",
		"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 "ABX-AI/Cerebral-Infinity-7B" \
        --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": "ABX-AI/Cerebral-Infinity-7B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use ABX-AI/Cerebral-Infinity-7B with Docker Model Runner:
```
docker model run hf.co/ABX-AI/Cerebral-Infinity-7B
```

ABX-AI commited on Mar 29, 2024

Commit

ef296e6

verified ·

1 Parent(s): aa3a653

Update README.md

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@@ -8,11 +8,20 @@ tags:
 - merge
 ---
-# output-model-directory
-This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
 ## Merge Details
 ### Merge Method
 This model was merged using the SLERP merge method.

 - merge
 ---
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/65d936ad52eca001fdcd3245/FujeSOGQBUSCz1KbvbyUt.png)
+# Cerebral-Infinity-7B
+The concept behind this merge is to create a "smarter" RP model, based on the already great InfinityRP, with the added logical reasoning qualities of Cerebrum.
+I believe it has achieved that based on testing I did, however it may still offer refusals, but they are easy to work around with character cards and good prompting.
 ## Merge Details
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
 ### Merge Method
 This model was merged using the SLERP merge method.