Upload README.md

README.md

@@ -0,0 +1,46 @@
+# Gradiant-ClientSim-v0.1
+
+A 4-bit quantized client simulation model based on IBM Granite 3.2B, fine-tuned for client interaction and simulation tasks. This model is compatible with Huggingface Transformers and bitsandbytes for efficient inference.
+
+## Model Details
+- **Base Model:** IBM Granite 3.2B (Unsloth)
+- **Precision:** 4-bit (safetensors, bitsandbytes)
+- **Architecture:** Causal Language Model
+- **Tokenizer:** Included (BPE)
+- **Intended Use:** Client simulation, dialogue, and assistant tasks
+
+## Files Included
+- `model.safetensors` — Main model weights (4-bit)
+- `config.json` — Model configuration
+- `generation_config.json` — Generation parameters
+- `tokenizer.json`, `tokenizer_config.json`, `vocab.json`, `merges.txt`, `special_tokens_map.json`, `added_tokens.json` — Tokenizer files
+
+## Example Usage
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer, BitsAndBytesConfig
+
+model_id = "oneblackmage/Gradiant-ClientSim-v0.1"
+bnb_config = BitsAndBytesConfig(load_in_4bit=True)
+model = AutoModelForCausalLM.from_pretrained(model_id, quantization_config=bnb_config, device_map="auto")
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+
+prompt = "<|user>How can I improve my focus at work?\n<|assistant|>\n"
+inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
+outputs = model.generate(**inputs, max_new_tokens=100)
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+```
+
+## Quantization
+- This model is stored in 4-bit precision using [bitsandbytes](https://github.com/TimDettmers/bitsandbytes) for efficient inference on modern GPUs.
+- For best performance, use with `transformers` >= 4.45 and `bitsandbytes` >= 0.43.
+
+## License
+- See the LICENSE file or Huggingface model card for details.
+
+## Citation
+If you use this model, please cite the original IBM Granite model and this fine-tuned version.
+
+---
+
+For questions or issues, open an issue on the Huggingface repo or contact the maintainer.