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

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 GitRepo
  2. Supervised Finetuning Dataset Creation using Swahili Gemma kaggle GitRepo
  3. Rag using Swahili gemma KaggleGitRepo
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