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README.md
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base_model: openai/gpt-oss-20b
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library_name: peft
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model_name: fine_tuned
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tags:
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- sft
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- transformers
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---
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#
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It has been trained using [TRL](https://github.com/huggingface/trl).
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```python
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from transformers import
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```
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- TRL: 0.21.0
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- Transformers: 4.55.0
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- Pytorch: 2.7.1+cu118
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- Datasets: 4.0.0
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- Tokenizers: 0.21.4
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##
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Cite TRL as:
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```bibtex
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@misc{
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publisher = {GitHub},
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howpublished = {\url{https://github.com/huggingface/trl}}
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}
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```
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---
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tags:
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- pytorch
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- safetensors
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- transformers
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- gpt-oss
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- multilingual
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- text-generation
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language:
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- en
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- es
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- fr
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- de
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- it
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- pt
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license: apache-2.0
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model_type: gpt-oss
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pipeline_tag: text-generation
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base_model: openai/gpt-oss-20b
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# GPT-OSS-20B Function Calling Model
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This repository contains the GPT-OSS-20B model fine-tuned on function calling data in PyTorch/Safetensors format, ready for use with the Transformers library.
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## Model Details
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- **Base Model:** openai/gpt-oss-20b
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- **Fine-tuning Dataset:** Salesforce/xlam-function-calling-60k (2000 samples)
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- **Fine-tuning Method:** LoRA (r=8, alpha=16)
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- **Context Length:** 131,072 tokens
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- **Model Size:** 20B parameters
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## Files
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- `model.safetensors`: Model weights in Safetensors format
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- `config.json`: Model configuration
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- `tokenizer.json`, `tokenizer_config.json`: Tokenizer files
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- `generation_config.json`: Generation configuration
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## Usage
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### With Transformers Library
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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# Load model and tokenizer
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model = AutoModelForCausalLM.from_pretrained(
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"cuijian0819/gpt-oss-20b-function-calling",
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torch_dtype="auto",
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device_map="auto"
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)
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tokenizer = AutoTokenizer.from_pretrained("cuijian0819/gpt-oss-20b-function-calling")
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# Generate text
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inputs = tokenizer("Your prompt here", return_tensors="pt")
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outputs = model.generate(**inputs, max_length=100, temperature=0.7)
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response = tokenizer.decode(outputs[0], skip_special_tokens=True)
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```
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### Fine-tuning
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This model can be further fine-tuned using standard PyTorch/Transformers workflows:
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer, Trainer, TrainingArguments
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model = AutoModelForCausalLM.from_pretrained("cuijian0819/gpt-oss-20b-function-calling")
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tokenizer = AutoTokenizer.from_pretrained("cuijian0819/gpt-oss-20b-function-calling")
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# Your fine-tuning code here
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```
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## GGUF Version
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For efficient inference with llama.cpp or Ollama, check out the GGUF version: [cuijian0819/gpt-oss-20b-function-calling-gguf](https://huggingface.co/cuijian0819/gpt-oss-20b-function-calling-gguf)
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## Training Details
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- **Training Epochs:** 5
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- **Learning Rate:** 0.0002
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- **Batch Size:** 4
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- **Gradient Accumulation:** 4
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- **Max Length:** 1024
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## License
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This model inherits the license from the base openai/gpt-oss-20b model.
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## Citation
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```bibtex
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@misc{gpt-oss-20b-function-calling,
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title={GPT-OSS-20B Function Calling Model},
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author={cuijian0819},
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year={2025},
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url={https://huggingface.co/cuijian0819/gpt-oss-20b-function-calling}
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}
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```
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