Text Generation
Transformers
PyTorch
Safetensors
English
llama
Eval Results (legacy)
text-generation-inference
Instructions to use acrastt/Marx-3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use acrastt/Marx-3B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="acrastt/Marx-3B")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("acrastt/Marx-3B") model = AutoModelForCausalLM.from_pretrained("acrastt/Marx-3B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use acrastt/Marx-3B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "acrastt/Marx-3B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "acrastt/Marx-3B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/acrastt/Marx-3B
- SGLang
How to use acrastt/Marx-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 "acrastt/Marx-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": "acrastt/Marx-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 "acrastt/Marx-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": "acrastt/Marx-3B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use acrastt/Marx-3B with Docker Model Runner:
docker model run hf.co/acrastt/Marx-3B
Commit History
-
Adding Evaluation Results (#9)
Verified signature- Adding Evaluation Results (a60aad07abc583b39bb391aa01bb0564d276c92a) Co-authored-by: Open LLM Leaderboard PR Bot <leaderboard-pr-bot@users.noreply.huggingface.co>b798836
-
Upload tokenizer.json (#8)
- Upload tokenizer.json (a95014fb7c4f4dc01a958a5b32b25c79f711c63c) Co-authored-by: Scott Mueller <ScottMueller@users.noreply.huggingface.co>c100c74
-
Adding Evaluation Results (#7)
- Adding Evaluation Results (2e66e31aeb47337eae68f9c21494035ff92595fc)d88e238 -
Update README.md
d173a57
-
Adding Evaluation Results (#5)
- Adding Evaluation Results (8ee3bed562586a691dc0e8f180de5369a2d99044)933db4e
-
Update README.md
0741e20
-
Update README.md
e65fa83
-
Update README.md
b143e78 -
Update README.md
0af9712
-
Update README.md
de8ebca -
Update README.md
798e94f -
Update README.md
87842dd -
Update README.md
e9b6acd
-
Update README.md
aa32c24 -
Adding `safetensors` variant of this model (#2)
- Adding `safetensors` variant of this model (9f0b87a8cdb0f6f3baf88e82471509af72d8aa13)c0dcc44
-
Update README.md
e3f96dc -
Update README.md
3c44455 -
Update README.md
4a1d9fd
-
Update README.md
b175fa4 -
Update README.md
ca753cf -
Update README.md
3475215 -
Update README.md
28d1b88 -
Upload 5 files
0ff6c53 -
Upload pytorch_model.bin with huggingface_hub (#1)
- Upload pytorch_model.bin with huggingface_hub (1690f981e9a3a659098ca6a85d8c1b8d0663aacb)b0714e6 -
initial commit
f6c2d55