---
base_model: llm-jp/llm-jp-3-13b
tags:
- text-generation-inference
- transformers
- unsloth
- llama
- trl
- sft
license: apache-2.0
language:
- en
---

# Uploaded  model

- **Developed by:** ak0327
- **License:** apache-2.0
- **Finetuned from model :** llm-jp/llm-jp-3-13b

This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.

[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)


# How to use

```Python

def load_model(model_name):
  # QLoRA config
  bnb_config = BitsAndBytesConfig(
      load_in_4bit=True,
      bnb_4bit_quant_type="nf4",
      bnb_4bit_compute_dtype=torch.bfloat16,
      bnb_4bit_use_double_quant=False,
  )

  # Load model
  model = AutoModelForCausalLM.from_pretrained(
      model_name,
      quantization_config=bnb_config,
      device_map="auto",
      token=HF_TOKEN
  )

  # Load tokenizer
  tokenizer = AutoTokenizer.from_pretrained(
      model_name,
      trust_remote_code=True,
      token=HF_TOKEN
  )
  return model, tokenizer


model_name = "ak0327/llm-jp-3-13b-ft-5"

model, tokenizer = load_model(model_name)
datasets = load_test_datasets()
results = inference(model_name, datasets, model, tokenizer)
```