Instructions to use eachadea/vicuna-13b-1.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eachadea/vicuna-13b-1.1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="eachadea/vicuna-13b-1.1")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("eachadea/vicuna-13b-1.1") model = AutoModelForCausalLM.from_pretrained("eachadea/vicuna-13b-1.1") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use eachadea/vicuna-13b-1.1 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "eachadea/vicuna-13b-1.1" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "eachadea/vicuna-13b-1.1", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/eachadea/vicuna-13b-1.1
- SGLang
How to use eachadea/vicuna-13b-1.1 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 "eachadea/vicuna-13b-1.1" \ --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": "eachadea/vicuna-13b-1.1", "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 "eachadea/vicuna-13b-1.1" \ --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": "eachadea/vicuna-13b-1.1", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use eachadea/vicuna-13b-1.1 with Docker Model Runner:
docker model run hf.co/eachadea/vicuna-13b-1.1
just saying it breaks whenever i get individual models to load for oobabooga
downloading al the models worked but that was 50 gigabytes... then installing one model broke oobabooga, so i just gave up and used legacy. can you fix the problem? i have the bug report here https://github.com/oobabooga/text-generation-webui/issues/1495
p.s realized this wasnt the ggml version, pretend it is the ggml version.
Assuming you're the author of the issue, you're trying to load the ggml 13b q4_2 into oobabooga. That's a different model from what's on this repository.
Anyways, the problem is in the fact that oobabooga doesn't use the latest llama.cpp bindings. You will have to update those manually or wait until oobabooga ships an update.
Overall, my ggml conversions use bleeding edge quantization that absolutely requires the latest version of llama.cpp to work.
i see, i'll wait for a new llama.cpp update. thanks!