Text Generation
Transformers
Safetensors
English
olmo2
text-generation-inference
unsloth
conversational
Instructions to use Pinkstack/Luau-coder-v2-3B-base-32k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Pinkstack/Luau-coder-v2-3B-base-32k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Pinkstack/Luau-coder-v2-3B-base-32k") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Pinkstack/Luau-coder-v2-3B-base-32k") model = AutoModelForCausalLM.from_pretrained("Pinkstack/Luau-coder-v2-3B-base-32k") messages = [ {"role": "user", "content": "Who are you?"}, ] inputs = tokenizer.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=40) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use Pinkstack/Luau-coder-v2-3B-base-32k with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Pinkstack/Luau-coder-v2-3B-base-32k" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Pinkstack/Luau-coder-v2-3B-base-32k", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/Pinkstack/Luau-coder-v2-3B-base-32k
- SGLang
How to use Pinkstack/Luau-coder-v2-3B-base-32k 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 "Pinkstack/Luau-coder-v2-3B-base-32k" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Pinkstack/Luau-coder-v2-3B-base-32k", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'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 "Pinkstack/Luau-coder-v2-3B-base-32k" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Pinkstack/Luau-coder-v2-3B-base-32k", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Unsloth Studio new
How to use Pinkstack/Luau-coder-v2-3B-base-32k with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for Pinkstack/Luau-coder-v2-3B-base-32k to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for Pinkstack/Luau-coder-v2-3B-base-32k to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Pinkstack/Luau-coder-v2-3B-base-32k to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="Pinkstack/Luau-coder-v2-3B-base-32k", max_seq_length=2048, ) - Docker Model Runner
How to use Pinkstack/Luau-coder-v2-3B-base-32k with Docker Model Runner:
docker model run hf.co/Pinkstack/Luau-coder-v2-3B-base-32k
| { | |
| "add_prefix_space": false, | |
| "added_tokens_decoder": { | |
| "100256": { | |
| "content": "<|extra_id_0|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": false | |
| }, | |
| "100257": { | |
| "content": "<|endoftext|>", | |
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| "single_word": false, | |
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| }, | |
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| "content": "<|fim_prefix|>", | |
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| "single_word": false, | |
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| "content": "<|fim_middle|>", | |
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| "single_word": false, | |
| "special": true | |
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| "100260": { | |
| "content": "<|fim_suffix|>", | |
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| "100271": { | |
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| "100272": { | |
| "content": "<|extra_id_7|>", | |
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| "single_word": false, | |
| "special": false | |
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| "100273": { | |
| "content": "<|extra_id_8|>", | |
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| "normalized": false, | |
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| "single_word": false, | |
| "special": false | |
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| "100274": { | |
| "content": "<|extra_id_9|>", | |
| "lstrip": false, | |
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| "100275": { | |
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| "special": false | |
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| "100276": { | |
| "content": "<|endofprompt|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "100277": { | |
| "content": "<|pad|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| } | |
| }, | |
| "bos_token": "<|endoftext|>", | |
| "chat_template": "{{ bos_token }}{% for message in messages %}{% if message['role'] == 'system' %}{{ '<|system|>' + message['content'] + '' }}{% elif message['role'] == 'user' %}{{ '<|user|>' + message['content'] + '' }}{% elif message['role'] == 'assistant' %}{% if not loop.last %}{{ '<|assistant|>' + message['content'] + eos_token + '' }}{% else %}{{ '<|assistant|>' + message['content'] + eos_token }}{% endif %}{% endif %}{% if loop.last and add_generation_prompt %}{{ '<|assistant|>' }}{% endif %}{% endfor %}", | |
| "clean_up_tokenization_spaces": false, | |
| "eos_token": "<|endoftext|>", | |
| "extra_special_tokens": {}, | |
| "model_max_length": 32768, | |
| "pad_token": "<|pad|>", | |
| "padding_side": "right", | |
| "tokenizer_class": "GPT2Tokenizer", | |
| "unk_token": "<|endoftext|>" | |
| } | |