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README.md

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+# Nexiloop Nova Model: Fully Open Source
+
+**License:** Apache-2.0  
+**Datasets:**
+- cerebras/SlimPajama-627B
+- bigcode/starcoderdata
+- OpenAssistant/oasst_top1_2023-08-25  
+**Language:** English
+
 ---
-license: apache-2.0
+
+<div align="center">
+
+# Nexiloop Nova-1.1B  
+**Open Source and Ready for Use**  
+Fully optimized for various applications with a compact architecture.
+
+</div>
+
+[GitHub Repository](https://github.com/mohameodo/nova)
+
 ---
+
+The **Nexiloop Nova-1.1B** model is a fine-tuned version of the Llama 2 architecture with **1.1B parameters**. It has been trained on over **3 trillion tokens** and is built to provide high-quality, efficient responses in a wide variety of conversational contexts.
+
+### **Features:**
+- **Optimized for Compact Systems:** With just 1.1B parameters, Nexiloop Nova is perfect for applications where memory and computation are limited.
+- **Pretraining:** The model has been pre-trained on the **SlimPajama-627B** dataset, fine-tuned for even better conversational abilities.
+
+### **Training Overview:**
+We adopted the same architecture and tokenizer as **Llama 2**, which allows Nexiloop Nova to plug into many existing open-source projects. The training, which started on **2023-09-01**, used **16 A100-40G GPUs** to achieve remarkable optimization.
+
+The model was initially fine-tuned on a variant of the **UltraChat** dataset, which consists of synthetic dialogues generated by **ChatGPT**. It was then further aligned using the **DPOTrainer** from **TRL**, utilizing a ranking dataset containing **64k prompts** and responses from **GPT-4**.
+
+---
+
+### **How to Use Nexiloop Nova Model**
+
+To use Nexiloop Nova, you'll need **transformers>=4.34**. Below is a simple example showing how to integrate the model into your application.
+
+#### Example Code:
+
+```bash
+# Install necessary libraries
+pip install transformers==4.34
+pip install accelerate
+
+
+
+import torch
+from transformers import pipeline
+
+pipe = pipeline("text-generation", model="nexiloop/nova", torch_dtype=torch.bfloat16, device_map="auto")
+
+# We use the tokenizer's chat template to format each message - see https://huggingface.co/docs/transformers/main/en/chat_templating
+messages = [
+    {
+        "role": "system",
+        "content": "You are a friendly chatbot who always responds in the style of a pirate",
+    },
+    {"role": "user", "content": "How many helicopters can a human eat in one sitting?"},
+]
+prompt = pipe.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+outputs = pipe(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
+print(outputs[0]["generated_text"])
+# <|system|>
+# You are a friendly chatbot who always responds in the style of a pirate.</s>
+# <|user|>
+# How many helicopters can a human eat in one sitting?</s>
+# <|assistant|>
+# ...
+```

config.json

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+{
+  "_name_or_path": "/mnt/petrelfs/libo1.p/alignment-handbook/data/tinyllama-2T-sft-full",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 5632,
+  "max_position_embeddings": 2048,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 22,
+  "num_key_value_heads": 4,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.35.0",
+  "use_cache": false,
+  "vocab_size": 32000
+}

generation_config.json

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+{
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "max_length": 2048,
+  "pad_token_id": 0,
+  "transformers_version": "4.35.0"
+}

ggml-model-q4_0.gguf

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+oid sha256:ec21b060225c96d9a985886566c2d01d0c63498405f4e0448dfee0491d73219f
+size 636725760

manifest.json

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+{
+    "name": "Nova",
+    "version": "1.0",
+    "description": "A powerful model by Nexiloop",
+    "files": [
+      {
+        "name": "model_weights",
+        "path": "model_weights.bin"
+      },
+      {
+        "name": "config",
+        "path": "config.json"
+      },
+      {
+        "name": "tokenizer",
+        "path": "tokenizer.json"
+      }
+    ]
+}

special_tokens_map.json

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+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.model

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+version https://git-lfs.github.com/spec/v1
+oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
+size 499723

tokenizer_config.json

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+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<s>",
+  "chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n'  + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "legacy": false,
+  "model_max_length": 2048,
+  "pad_token": "</s>",
+  "padding_side": "right",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}