Text Generation
Transformers
Safetensors
qwen3_moe
turkish
türkiye
ai
lamapi
next-codex
coder
codex
open-source
30b
Mixture of Experts
mixture-of-experts
code-generation
coding
llm
transformer
artificial-intelligence
4-bit precision
bitsandbytes
Instructions to use thelamapi/next-codex with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thelamapi/next-codex with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="thelamapi/next-codex")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("thelamapi/next-codex") model = AutoModelForCausalLM.from_pretrained("thelamapi/next-codex") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use thelamapi/next-codex with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "thelamapi/next-codex" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "thelamapi/next-codex", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/thelamapi/next-codex
- SGLang
How to use thelamapi/next-codex 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 "thelamapi/next-codex" \ --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": "thelamapi/next-codex", "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 "thelamapi/next-codex" \ --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": "thelamapi/next-codex", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use thelamapi/next-codex with Docker Model Runner:
docker model run hf.co/thelamapi/next-codex
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- truthfulqa/truthful_qa
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library_name: transformers
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---
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- truthfulqa/truthful_qa
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- HuggingFaceH4/ultrachat_200k
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- OpenAssistant/oasst1
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- iamtarun/python_code_instructions_18k_alpaca
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- nickrosh/Evol-Instruct-Code-80k-v1
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- arcee-ai/agent-data
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- GreenerPastures/All-Your-Base-Full
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- FreedomIntelligence/Socratic
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- qihoo360/Light-R1-SFTData
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- dongguanting/ARPO-SFT-54K
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library_name: transformers
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---
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