Instructions to use forkjoin-ai/buleyean-qwen2.5-32b-builder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use forkjoin-ai/buleyean-qwen2.5-32b-builder with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Fix model card accuracy (format/filename)
Browse files
README.md
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---
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license: apache-2.0
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library_name: peft
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tags:
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- lora
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- peft
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- adapter
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- qwen2
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- forkjoin-ai
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- buleyean
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base_model: Qwen/Qwen2.5-32B-Instruct
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pipeline_tag: text-generation
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---
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# Buleyean Qwen2.5-32B — Builder (LoRA adapter)
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> **LoRA adapter** for [Qwen/Qwen2.5-32B-Instruct](https://huggingface.co/Qwen/Qwen2.5-32B-Instruct) — the *builder* personality from the Buleyean affective-RL series. Powered by [Aether](https://github.com/forkjoin-ai/aether) / [Edgework.ai](https://edgework.ai).
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## Details
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| Property | Value |
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|----------|-------|
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| Type | LoRA adapter (PEFT) |
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| Base model | [Qwen/Qwen2.5-32B-Instruct](https://huggingface.co/Qwen/Qwen2.5-32B-Instruct) |
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| Personality | builder |
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| Adapter | `lora/adapter_model.safetensors` |
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| License | apache-2.0 |
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## Usage
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```python
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from peft import PeftModel
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from transformers import AutoModelForCausalLM, AutoTokenizer
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base = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-32B-Instruct")
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model = PeftModel.from_pretrained(base, "forkjoin-ai/buleyean-qwen2.5-32b-builder", subfolder="lora")
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tok = AutoTokenizer.from_pretrained("forkjoin-ai/buleyean-qwen2.5-32b-builder", subfolder="lora")
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```
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## About
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Published by [AFFECTIVELY](https://huggingface.co/forkjoin-ai) · Managed by [@buley](https://huggingface.co/buley).
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- [All models](https://huggingface.co/forkjoin-ai) · [GitHub](https://github.com/forkjoin-ai) · [Edgework.ai](https://edgework.ai)
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