Text Generation
Transformers
Safetensors
English
mixtral
code
math
cot
conversational
Mixture of Experts
Superthoughts
text-generation-inference
Instructions to use Pinkstack/Superthoughts-lite-v2-MOE-Llama3.2-experimental-0427 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Pinkstack/Superthoughts-lite-v2-MOE-Llama3.2-experimental-0427 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Pinkstack/Superthoughts-lite-v2-MOE-Llama3.2-experimental-0427") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Pinkstack/Superthoughts-lite-v2-MOE-Llama3.2-experimental-0427") model = AutoModelForCausalLM.from_pretrained("Pinkstack/Superthoughts-lite-v2-MOE-Llama3.2-experimental-0427", device_map="auto") 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 Settings
- vLLM
How to use Pinkstack/Superthoughts-lite-v2-MOE-Llama3.2-experimental-0427 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Pinkstack/Superthoughts-lite-v2-MOE-Llama3.2-experimental-0427" # 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/Superthoughts-lite-v2-MOE-Llama3.2-experimental-0427", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/Pinkstack/Superthoughts-lite-v2-MOE-Llama3.2-experimental-0427
- SGLang
How to use Pinkstack/Superthoughts-lite-v2-MOE-Llama3.2-experimental-0427 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/Superthoughts-lite-v2-MOE-Llama3.2-experimental-0427" \ --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/Superthoughts-lite-v2-MOE-Llama3.2-experimental-0427", "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/Superthoughts-lite-v2-MOE-Llama3.2-experimental-0427" \ --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/Superthoughts-lite-v2-MOE-Llama3.2-experimental-0427", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use Pinkstack/Superthoughts-lite-v2-MOE-Llama3.2-experimental-0427 with Docker Model Runner:
docker model run hf.co/Pinkstack/Superthoughts-lite-v2-MOE-Llama3.2-experimental-0427
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## ⚠️THIS MODEL IS EXPERIMENTAL!!
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After more than two months since the release of superthoughts lite v1, we finally release the new version. **v2**
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Unlike the first generation of superthoughts lite, this model is a MoE (Mixture of experts), of 4 special fine-tuned experts based off of llama-3.2-1B models.
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- conversational
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- moe
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- Superthoughts
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new_version: Pinkstack/Superthoughts-lite-v2-MOE-Llama3.2
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---
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## ⚠️THIS MODEL IS EXPERIMENTAL!!
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Please use the fully released Pinkstack/Superthoughts-lite-v2-MOE-Llama3.2 instead.
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After more than two months since the release of superthoughts lite v1, we finally release the new version. **v2**
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Unlike the first generation of superthoughts lite, this model is a MoE (Mixture of experts), of 4 special fine-tuned experts based off of llama-3.2-1B models.
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