README.md

metadata

license: apache-2.0
tags:
  - merge
  - hindi
  - english
  - Llama2
  - ai4bharat/Airavata
  - BhabhaAI/Gajendra-v0.1

yuj-v1

The yuj-v1 model is a blend of advanced models strategically crafted to enhance Hindi Language Models (LLMs) effectively and democratically. Its primary goals include catalyzing the development of Hindi and its communities, making significant contributions to linguistic knowledge. The term "yuj," from Sanskrit, signifies fundamental unity, highlighting the integration of sophisticated technologies to improve the language experience for users in the Hindi-speaking community.

Official GGUF version: shuvom/yuj-v1-GGUF

Below are the model which are leverage to build this yuj-v1:

• ai4bharat/Airavata
• BhabhaAI/Gajendra-v0.1

🧩 Configuration

models:
  - model: sarvamai/OpenHathi-7B-Hi-v0.1-Base
    # no parameters necessary for base model
  - model: ai4bharat/Airavata
    parameters:
      density: 0.5
      weight: 0.5
  - model: BhabhaAI/Gajendra-v0.1
    parameters:
      density: 0.5
      weight: 0.3
merge_method: ties
base_model: sarvamai/OpenHathi-7B-Hi-v0.1-Base
parameters:
  normalize: true
dtype: float16

💻 Usage

!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "shuvom/yuj-v1"
messages = [{"role": "user", "content": "some hindi texts"}]

tokenizer = AutoTokenizer.from_pretrained(model)
prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
pipeline = transformers.pipeline(
    "text-generation",
    model=model,
    torch_dtype=torch.float16,
    device_map="auto",
)

outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
print(outputs[0]["generated_text"])