Instructions to use haoranxu/ALMA-13B-R with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use haoranxu/ALMA-13B-R with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="haoranxu/ALMA-13B-R")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("haoranxu/ALMA-13B-R") model = AutoModelForCausalLM.from_pretrained("haoranxu/ALMA-13B-R") - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use haoranxu/ALMA-13B-R with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "haoranxu/ALMA-13B-R" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "haoranxu/ALMA-13B-R", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/haoranxu/ALMA-13B-R
- SGLang
How to use haoranxu/ALMA-13B-R 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 "haoranxu/ALMA-13B-R" \ --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": "haoranxu/ALMA-13B-R", "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 "haoranxu/ALMA-13B-R" \ --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": "haoranxu/ALMA-13B-R", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use haoranxu/ALMA-13B-R with Docker Model Runner:
docker model run hf.co/haoranxu/ALMA-13B-R
Hallucination
#12 opened almost 2 years ago
by
bajindy
Beginner Questions about Formatting Dataset and hardware
#11 opened about 2 years ago
by
LogicBombaklot
Adding Evaluation Results
#10 opened about 2 years ago
by
leaderboard-pr-bot
When using beam search, the model's output may end prematurely.
1
#9 opened over 2 years ago
by
syGOAT
New language possible?
3
#8 opened over 2 years ago
by
norp90
English to Canadian French
3
#7 opened over 2 years ago
by
KotaNaveen
When there is a more flexible prompt, the model tends not to output
1
#5 opened over 2 years ago
by
syGOAT
Is there any ablation for unsupported languages?
1
#4 opened over 2 years ago
by
AntoineBlanot
Is there any comparison with Google's MADLAD-400?
4
#3 opened over 2 years ago
by
AntoineBlanot
The GPT-4 comparison is a bit too early (yet?)
4
#1 opened over 2 years ago
by
cmp-nct