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rudrashah/RLM_hingu

sourceHugging Facemitupdated 1y agoView on Hugging Face
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RLM_hingu

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RLM_hingu is a fine-tuned version of the Gemma-3B Instruct model, adapted for casual Hinglish (Hindi-English) conversation using the keras-nlp framework. It is designed for lightweight conversational tasks in Hinglish, optimized with the JAX backend for efficiency.

Model Overview

  • —Base model: gemma3_instruct_1b
  • —Library: `keras-nlp`
  • —Backend: JAX (recommended for best performance)
  • —Sampling Method: Top-K (k=10)
  • —Use Case: Conversational Hinglish response generation

Usage

python
from keras_nlp.models import Gemma3CausalLM
from keras_nlp.samplers import TopKSampler

model = Gemma3CausalLM.from_preset("hf://rudrashah/RLM_hingu")
template = "Question:\n{question}\n\nAnswer:\n{answer}"
prompt = template.format(
    question="Rudra acha ladka hai?",
    answer="",
)
output = model.generate(prompt, max_length=256)
print(output)
output
Question:
Rudra acha ladka hai?

Answer:
haan, sabse best hai.

To run RLM_hingu, just paste this code and wait.