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---
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license: apache-2.0
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datasets:
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- sabma-labs/endless-move-code
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base_model:
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- Qwen/Qwen2.5-Coder-32B-Instruct
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tags:
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- move
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- blockchain
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- endless
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- smart-contracts
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- code-generation
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- programming
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---
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# Endless-Coder-32B-Instruct |
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Large language model curated by **sabma-labs** for Endless Protocol Move-language workflows: answering Move questions, generating modules, and supporting Endless-specific conventions. |
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## Usage Example |
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```python |
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from transformers import AutoModelForCausalLM, AutoTokenizer |
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import torch |
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model_id = "sabma-labs/Endless-Coder-32B-Instruct" |
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tokenizer = AutoTokenizer.from_pretrained(model_id, trust_remote_code=True) |
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if tokenizer.pad_token is None: |
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tokenizer.pad_token = tokenizer.eos_token |
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model = AutoModelForCausalLM.from_pretrained( |
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model_id, |
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torch_dtype=torch.bfloat16, |
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device_map="auto", |
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trust_remote_code=True, |
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) |
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prompt = ( |
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"<|system|>You are a Move language programming assistant developed by Endless Labs.<|end|>" |
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"<|user|>Explain how to create a counter module in Move.<|end|>" |
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"<|assistant|>" |
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) |
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inputs = tokenizer(prompt, return_tensors="pt").to(model.device) |
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outputs = model.generate( |
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**inputs, |
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max_new_tokens=512, |
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temperature=0.7, |
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top_p=0.9, |
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) |
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print(tokenizer.decode(outputs[0], skip_special_tokens=True)) |
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``` |
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## Contact |
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- **Author:** sabma-labs |
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- **Repository:** https://huggingface.co/sabma-labs/Endless-Coder-32B-Instruct |
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- **Support:** open an issue on the Hugging Face repo or reach out via sabma-labs channels. |
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--- |
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license: apache-2.0 |
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--- |
