---
library_name: transformers
tags:
- LoRA
license: apache-2.0
datasets:
- TIGER-Lab/MathInstruct
language:
- en
base_model:
- Qwen/Qwen2.5-7B-Instruct
pipeline_tag: text-generation
---

![Komodo-Logo](Komodo-Logo.jpg)

Komodo is a Qwen 2.5-7B-Instruct-FineTuned model on TIGER-Lab/MathInstruct dataset to increase math performance of the base model.

Suggested Usage:
```py
tokenizer = AutoTokenizer.from_pretrained("suayptalha/Komodo-7B-Instruct")
model = AutoModelForCausalLM.from_pretrained("suayptalha/Komodo-7B-Instruct")

example_prompt = """Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request.

### Instruction:
{}

### Input:
{}

### Response:
{}"""

inputs = tokenizer(
[
    example_prompt.format(
        "", #Your question here
        "", #Given input here
        "", #Output (for training)
    )
], return_tensors = "pt").to("cuda")

outputs = model.generate(**inputs, max_new_tokens = 512, use_cache = True)
tokenizer.batch_decode(outputs)
```