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README.md

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+---
+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.
+
+Below are the model which are leverage to build this yuj-v1:
+* [ai4bharat/Airavata](https://huggingface.co/ai4bharat/Airavata)
+* [BhabhaAI/Gajendra-v0.1](https://huggingface.co/BhabhaAI/Gajendra-v0.1)
+
+## 🧩 Configuration
+
+```yaml
+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
+
+```python
+!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"])
+```

config.json

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+{
+  "_name_or_path": "sarvamai/OpenHathi-7B-Hi-v0.1-Base",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 11008,
+  "max_position_embeddings": 4096,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 32,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.35.2",
+  "use_cache": true,
+  "vocab_size": 48064
+}

mergekit_config.yml

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+
+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

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