---
language:
- en
license: apache-2.0
tags:
- text-generation-inference
- transformers
- unsloth
- gemma
- trl
base_model: gemma-7b-bnb-4bit
---

# Uploaded  model

- **Developed by:** Mollel
- **License:** apache-2.0
- **Finetuned from model :** gemma-7b-bnb-4bit

```python3

from llama_index.llms.huggingface import HuggingFaceLLM
llm = HuggingFaceLLM(
 context_window=4096,
 max_new_tokens=256,
 generate_kwargs={"temperature": 0.7, "do_sample": False},  
 tokenizer_name="Mollel/Swahili_Gemma",
 model_name="Mollel/Swahili_Gemma",
 device_map="auto",
 stopping_ids=[50278, 50279, 50277, 1, 0],
 tokenizer_kwargs={"max_length": 4096},
 model_kwargs={"torch_dtype": torch.float16}
)

```

Examples
1. Load Lora and use for evaluation [kaggle](https://www.kaggle.com/code/mikemollel/evaluator-swahili-llms) [GitRepo](https://github.com/msamwelmollel/swahili_model_evals)
2. Supervised Finetuning Dataset Creation using Swahili Gemma [kaggle](https://www.kaggle.com/code/mikemollel/swahili-gemma-dataset-creation) [GitRepo](https://github.com/msamwelmollel/swahili_Gemma)
3. Rag using Swahili gemma [Kaggle](https://www.kaggle.com/code/mikemollel/rag-gemma-swahili)[GitRepo](https://github.com/msamwelmollel/swahili_Gemma)