Add comprehensive README

README.md

@@ -1,58 +1,100 @@
 ---
-base_model: openai/gpt-oss-20b
-library_name: transformers
-model_name: fine_tuned
 tags:
-- generated_from_trainer
-- trl
-- sft
-licence: license
+- pytorch
+- safetensors
+- transformers
+- gpt-oss
+- multilingual
+- text-generation
+language:
+- en
+- es
+- fr
+- de
+- it
+- pt
+license: apache-2.0
+model_type: gpt-oss
+pipeline_tag: text-generation
+base_model: openai/gpt-oss-20b
 ---
 
-# Model Card for fine_tuned
+# GPT-OSS-20B Function Calling Model
+
+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.
+
+## Model Details
+
+- **Base Model:** openai/gpt-oss-20b
+- **Fine-tuning Dataset:** Salesforce/xlam-function-calling-60k (2000 samples)
+- **Fine-tuning Method:** LoRA (r=8, alpha=16)
+- **Context Length:** 131,072 tokens
+- **Model Size:** 20B parameters
+
+## Files
+
+- `model.safetensors`: Model weights in Safetensors format
+- `config.json`: Model configuration
+- `tokenizer.json`, `tokenizer_config.json`: Tokenizer files
+- `generation_config.json`: Generation configuration
 
-This model is a fine-tuned version of [openai/gpt-oss-20b](https://huggingface.co/openai/gpt-oss-20b).
-It has been trained using [TRL](https://github.com/huggingface/trl).
+## Usage
 
-## Quick start
+### With Transformers Library
 
 ```python
-from transformers import pipeline
+from transformers import AutoModelForCausalLM, AutoTokenizer
 
-question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
-generator = pipeline("text-generation", model="cuijian0819/fine_tuned", device="cuda")
-output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
-print(output["generated_text"])
+# Load model and tokenizer
+model = AutoModelForCausalLM.from_pretrained(
+    "cuijian0819/gpt-oss-20b-function-calling",
+    torch_dtype="auto",
+    device_map="auto"
+)
+tokenizer = AutoTokenizer.from_pretrained("cuijian0819/gpt-oss-20b-function-calling")
+
+# Generate text
+inputs = tokenizer("Your prompt here", return_tensors="pt")
+outputs = model.generate(**inputs, max_length=100, temperature=0.7)
+response = tokenizer.decode(outputs[0], skip_special_tokens=True)
 ```
 
-## Training procedure
+### Fine-tuning
+
+This model can be further fine-tuned using standard PyTorch/Transformers workflows:
 
- 
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer, Trainer, TrainingArguments
 
+model = AutoModelForCausalLM.from_pretrained("cuijian0819/gpt-oss-20b-function-calling")
+tokenizer = AutoTokenizer.from_pretrained("cuijian0819/gpt-oss-20b-function-calling")
 
-This model was trained with SFT.
+# Your fine-tuning code here
+```
 
-### Framework versions
+## GGUF Version
 
-- TRL: 0.21.0
-- Transformers: 4.55.0
-- Pytorch: 2.7.1+cu118
-- Datasets: 4.0.0
-- Tokenizers: 0.21.4
+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)
 
-## Citations
+## Training Details
 
+- **Training Epochs:** 2
+- **Learning Rate:** 0.0002
+- **Batch Size:** 4
+- **Gradient Accumulation:** 4
+- **Max Length:** 1024
 
+## License
+
+This model inherits the license from the base openai/gpt-oss-20b model.
+
+## Citation
 
-Cite TRL as:
-    
 ```bibtex
-@misc{vonwerra2022trl,
-	title        = {{TRL: Transformer Reinforcement Learning}},
-	author       = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallou{\'e}dec},
-	year         = 2020,
-	journal      = {GitHub repository},
-	publisher    = {GitHub},
-	howpublished = {\url{https://github.com/huggingface/trl}}
+@misc{gpt-oss-20b-function-calling,
+  title={GPT-OSS-20B Function Calling Model},
+  author={cuijian0819},
+  year={2025},
+  url={https://huggingface.co/cuijian0819/gpt-oss-20b-function-calling}
 }
-```
+```