Instructions to use MBZUAI/LaMini-Neo-1.3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MBZUAI/LaMini-Neo-1.3B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="MBZUAI/LaMini-Neo-1.3B")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("MBZUAI/LaMini-Neo-1.3B") model = AutoModelForCausalLM.from_pretrained("MBZUAI/LaMini-Neo-1.3B") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use MBZUAI/LaMini-Neo-1.3B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "MBZUAI/LaMini-Neo-1.3B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "MBZUAI/LaMini-Neo-1.3B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/MBZUAI/LaMini-Neo-1.3B
- SGLang
How to use MBZUAI/LaMini-Neo-1.3B 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 "MBZUAI/LaMini-Neo-1.3B" \ --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": "MBZUAI/LaMini-Neo-1.3B", "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 "MBZUAI/LaMini-Neo-1.3B" \ --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": "MBZUAI/LaMini-Neo-1.3B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use MBZUAI/LaMini-Neo-1.3B with Docker Model Runner:
docker model run hf.co/MBZUAI/LaMini-Neo-1.3B
Librarian Bot: Add base_model information to model
#6
by librarian-bot - opened
README.md
CHANGED
|
@@ -1,23 +1,23 @@
|
|
| 1 |
---
|
| 2 |
-
license: cc-by-nc-4.0
|
| 3 |
language:
|
| 4 |
- en
|
|
|
|
| 5 |
pipeline_tag: text-generation
|
| 6 |
widget:
|
| 7 |
-
|
| 8 |
-
|
| 9 |
-
|
| 10 |
-
|
| 11 |
-
|
| 12 |
-
|
| 13 |
-
|
| 14 |
-
|
| 15 |
-
|
| 16 |
-
|
| 17 |
-
|
| 18 |
-
|
| 19 |
-
|
| 20 |
-
|
| 21 |
---
|
| 22 |
|
| 23 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
|
| 1 |
---
|
|
|
|
| 2 |
language:
|
| 3 |
- en
|
| 4 |
+
license: cc-by-nc-4.0
|
| 5 |
pipeline_tag: text-generation
|
| 6 |
widget:
|
| 7 |
+
- text: 'Below is an instruction that describes a task.
|
| 8 |
+
|
| 9 |
+
Write a response that appropriately completes the request.
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
|
| 13 |
+
### Instruction:
|
| 14 |
+
|
| 15 |
+
how can I become more healthy?
|
| 16 |
+
|
| 17 |
+
|
| 18 |
+
### Response:'
|
| 19 |
+
example_title: example
|
| 20 |
+
base_model: EleutherAI/gpt-neo-1.3B
|
| 21 |
---
|
| 22 |
|
| 23 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|