---
language:
- en
- tr
license: apache-2.0
tags:
- text-generation-inference
- transformers
- unsloth
- llama
- trl
- sft
base_model: unsloth/llama-3-8b-bnb-4bit
---

# Uploaded  model

- **Developed by:** umarigan
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit

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)

## Usage Examples

```python

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("KOCDIGITAL/Kocdigital-LLM-8b-v0.1")
model = AutoModelForCausalLM.from_pretrained("KOCDIGITAL/Kocdigital-LLM-8b-v0.1")#umarigan/llama-3-openhermes-tr
alpaca_prompt = """
Görev:
{}

Girdi:
{}

Cevap:
{}"""

inputs = tokenizer(
[
    alpaca_prompt.format(
        "fibonnaci dizisinin devamını getir.", # instruction
        "1, 1, 2, 3, 5, 8", # input
        "", # output - leave this blank for generation!
    )
], return_tensors = "pt")
outputs = model.generate(**inputs, max_new_tokens = 64, use_cache = True)
tokenizer.batch_decode(outputs)
```