Instructions to use hakurei/lit-6B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hakurei/lit-6B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="hakurei/lit-6B")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("hakurei/lit-6B") model = AutoModelForCausalLM.from_pretrained("hakurei/lit-6B") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use hakurei/lit-6B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "hakurei/lit-6B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "hakurei/lit-6B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/hakurei/lit-6B
- SGLang
How to use hakurei/lit-6B 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 "hakurei/lit-6B" \ --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": "hakurei/lit-6B", "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 "hakurei/lit-6B" \ --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": "hakurei/lit-6B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use hakurei/lit-6B with Docker Model Runner:
docker model run hf.co/hakurei/lit-6B
Hey, it's probably delusional.
Is it still possible to add version 2.7B to the model by now? It seems to have more behavior than Erebus can recognize.
best bet is lit3b-4k
same dataset (i think) but with 4k tokens of context
best bet is lit3b-4k
same dataset (i think) but with 4k tokens of context
But I'm afraid my video memory size prevents me from using it, and its 4bit version doesn't seem to exist anymore.
best bet is lit3b-4k
same dataset (i think) but with 4k tokens of contextBut I'm afraid my video memory size prevents me from using it, and its 4bit version doesn't seem to exist anymore.
you could join the server, there is some progress for quantizing it