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---
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 = """
G枚rev:
{}
Girdi:
{}
Cevap:
{}"""
inputs = tokenizer(
[
alpaca_prompt.format(
"fibonnaci dizisinin devam谋n谋 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)
``` |