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Model: FrederickSundeep/nova2-14b Source: Original Platform
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README.md
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README.md
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---
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license: apache-2.0
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base_model: Qwen/Qwen3-14B
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tags:
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- text-generation
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- conversational
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- fine-tuned
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- qwen3
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- nova
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- novamind
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- lora
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- qlora
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- unsloth
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language:
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- en
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pipeline_tag: text-generation
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library_name: transformers
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model_type: qwen3
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inference: true
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datasets:
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- custom
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metrics:
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- accuracy
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widget:
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- text: "Who are you?"
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example_title: "Identity"
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- text: "What is a REST API?"
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example_title: "Technical Question"
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- text: "Write a Python function to reverse a string"
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example_title: "Code Generation"
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---
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# 🧠 Nova2-14B
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<p align="center">
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<img src="https://img.shields.io/badge/Base%20Model-Qwen3--14B-blue?style=flat-square" />
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<img src="https://img.shields.io/badge/Fine--tuned%20with-Unsloth%20%2B%20QLoRA-green?style=flat-square" />
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<img src="https://img.shields.io/badge/License-Apache%202.0-orange?style=flat-square" />
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<img src="https://img.shields.io/badge/Language-English-red?style=flat-square" />
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<img src="https://img.shields.io/badge/Parameters-14B-purple?style=flat-square" />
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</p>
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**Nova2-14B** is a fine-tuned large language model built on top of [Qwen/Qwen3-14B](https://huggingface.co/Qwen/Qwen3-14B).
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It is the core model powering **NovaMind** — an AI chat application developed by **Frederick Sundeep Mallela**.
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Nova2-14B is a **fully standalone merged model** — the LoRA adapter has been permanently baked into the base weights,
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requiring no adapter dependency at inference time.
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---
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## 🚀 Model Description
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| Property | Value |
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|---|---|
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| **Model Name** | Nova2-14B |
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| **Developer** | Frederick Sundeep Mallela |
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| **Base Model** | Qwen/Qwen3-14B |
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| **Fine-tuning Method** | QLoRA (Quantized Low-Rank Adaptation) |
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| **Fine-tuning Framework** | Unsloth + TRL |
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| **Model Type** | Causal Language Model |
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| **Parameters** | ~14.7 Billion |
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| **Context Length** | 2048 tokens (base supports up to 40K) |
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| **Language** | English |
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| **License** | Apache 2.0 |
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| **Merge Status** | ✅ Fully merged — standalone base model |
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---
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## 💡 What Makes Nova2-14B Different
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Nova2-14B retains **all of Qwen3-14B's capabilities** — coding, reasoning, math, multilingual support —
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while adding a custom persona and identity through supervised fine-tuning:
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- Responds as **Nova**, an AI assistant created by Frederick
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- Consistent identity across all conversation styles
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- Trained to never reveal underlying architecture details
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- Optimized for use in the **NovaMind** chat application
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---
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## 🛠️ How to Use
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### Basic Usage
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```python
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from transformers import AutoTokenizer, AutoModelForCausalLM
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import torch
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model_id = "FrederickSundeep/nova2-14b"
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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model = AutoModelForCausalLM.from_pretrained(
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model_id,
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torch_dtype=torch.float16,
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device_map="auto",
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)
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model.eval()
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messages = [
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{"role": "system", "content": "You are Nova, an AI assistant created by Frederick."},
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{"role": "user", "content": "Who are you?"},
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]
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inputs = tokenizer.apply_chat_template(
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messages,
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tokenize=True,
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add_generation_prompt=True,
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enable_thinking=False,
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return_tensors="pt",
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).to(model.device)
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with torch.no_grad():
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outputs = model.generate(
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input_ids=inputs,
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max_new_tokens=512,
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temperature=0.7,
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top_p=0.8,
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top_k=20,
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do_sample=True,
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repetition_penalty=1.05,
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pad_token_id=tokenizer.eos_token_id,
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)
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response = tokenizer.decode(outputs[0][inputs.shape[-1]:], skip_special_tokens=True)
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print(response)
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```
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### With 4-bit Quantization (Low VRAM)
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```python
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from transformers import AutoTokenizer, AutoModelForCausalLM, BitsAndBytesConfig
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import torch
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bnb_config = BitsAndBytesConfig(
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load_in_4bit=True,
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bnb_4bit_compute_dtype=torch.float16,
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bnb_4bit_use_double_quant=True,
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bnb_4bit_quant_type="nf4",
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)
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model_id = "FrederickSundeep/nova2-14b"
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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model = AutoModelForCausalLM.from_pretrained(
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model_id,
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quantization_config=bnb_config,
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device_map="auto",
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)
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```
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### Recommended Generation Parameters
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```python
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# For conversational / chat use
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generation_config = {
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"temperature": 0.7,
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"top_p": 0.8,
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"top_k": 20,
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"repetition_penalty": 1.05,
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"do_sample": True,
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"max_new_tokens": 1024,
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}
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# For coding / precise tasks
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generation_config_precise = {
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"temperature": 0.3,
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"top_p": 0.9,
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"do_sample": True,
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"max_new_tokens": 2048,
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}
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```
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---
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## 🏋️ Training Details
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### Fine-tuning Setup
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| Setting | Value |
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|---|---|
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| **Base Model** | unsloth/Qwen3-14B-bnb-4bit |
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| **Method** | Supervised Fine-Tuning (SFT) with QLoRA |
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| **LoRA Rank** | 16 |
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| **LoRA Alpha** | 16 |
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| **Target Modules** | q_proj, k_proj, v_proj, o_proj, gate_proj, up_proj, down_proj |
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| **Batch Size** | 2 (effective 8 with gradient accumulation) |
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| **Gradient Accumulation** | 4 steps |
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| **Learning Rate** | 2e-4 |
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| **Epochs** | 3 |
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| **Optimizer** | AdamW 8-bit |
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| **LR Scheduler** | Linear |
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| **Max Sequence Length** | 2048 |
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| **Training Hardware** | NVIDIA Tesla T4 (16GB) via Google Colab |
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| **Training Framework** | Unsloth + TRL SFTTrainer |
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| **Thinking Mode** | Disabled (enable_thinking=False) |
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### Dataset
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Custom curated dataset of conversational examples covering:
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- **Identity & persona** — Nova's name, creator, what it is and isn't
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- **Technical knowledge** — coding, system design, AI/ML concepts
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- **Personality & tone** — concise, direct, technically precise responses
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- **Edge cases** — handling questions about underlying architecture
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---
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## ⚙️ Hardware Requirements
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| Setup | VRAM | Notes |
|
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|---|---|---|
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| Full fp16 | ~28 GB | A100 80GB or 2x A40 |
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| 8-bit quantized | ~15 GB | Single A100 40GB or RTX 3090 |
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| 4-bit quantized | ~9 GB | Single RTX 3080/3090/4090 or T4 |
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| CPU only | 32 GB RAM | Very slow — not recommended |
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---
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## 📊 Capabilities
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Nova2-14B inherits all Qwen3-14B capabilities:
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- ✅ **Code generation** — Python, JavaScript, TypeScript, Java, C++, SQL, and more
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- ✅ **Reasoning** — step-by-step logical problem solving
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- ✅ **Math** — arithmetic to advanced mathematics
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- ✅ **Instruction following** — precise task execution
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- ✅ **Multilingual** — 100+ languages (from base model)
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- ✅ **Long context** — supports up to 40K tokens (base architecture)
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- ✅ **Tool use** — function calling compatible
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- ✅ **System prompt** — fully supports custom system prompts
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---
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## 🔒 Intended Use
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**Intended for:**
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- Powering the NovaMind AI chat application
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- General-purpose AI assistant tasks
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- Code generation and debugging
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- Technical question answering
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- Further fine-tuning as a base model
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**Not intended for:**
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- Harmful, unethical, or illegal content generation
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- Medical or legal advice without human oversight
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- High-stakes autonomous decision making
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---
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## ⚠️ Limitations
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- Fine-tuned on a relatively small custom dataset — may occasionally revert to base Qwen3 behavior in edge cases
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- Not evaluated on standard benchmarks post fine-tuning
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- Thinking mode disabled during fine-tuning — re-enable via `enable_thinking=True` in chat template if needed
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- Context limited to 2048 tokens in fine-tuned configuration (base supports 40K)
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---
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## 🔗 Related
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- **NovaMind App:** AI chat application powered by this model
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- **Base Model:** [Qwen/Qwen3-14B](https://huggingface.co/Qwen/Qwen3-14B)
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- **Fine-tuning Framework:** [Unsloth](https://github.com/unslothai/unsloth)
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- **Developer:** Frederick Sundeep Mallela
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---
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## 📄 License
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This model is released under the **Apache 2.0 License**, inheriting the license of the base model Qwen3-14B.
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See [LICENSE](https://www.apache.org/licenses/LICENSE-2.0) for full details.
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---
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## 📝 Citation
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If you use Nova2-14B in your research or application, please cite:
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```bibtex
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@misc{nova2-14b-2025,
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author = {Frederick Sundeep Mallela},
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title = {Nova2-14B: A Fine-tuned Conversational AI Assistant},
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year = {2025},
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publisher = {HuggingFace},
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howpublished = {\url{https://huggingface.co/FrederickSundeep/nova2-14b}},
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note = {Fine-tuned from Qwen/Qwen3-14B using QLoRA and Unsloth}
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}
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```
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97
chat_template.jinja
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chat_template.jinja
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{%- if tools %}
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{{- '<|im_start|>system\n' }}
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{%- if messages[0].role == 'system' %}
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{{- messages[0].content + '\n\n' }}
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{%- endif %}
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{{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
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{%- for tool in tools %}
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{{- "\n" }}
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{{- tool | tojson }}
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{%- endfor %}
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{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
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{%- else %}
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{%- if messages[0].role == 'system' %}
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{{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
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{%- for forward_message in messages %}
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{%- set index = (messages|length - 1) - loop.index0 %}
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{%- set message = messages[index] %}
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{%- set tool_start = '<tool_response>' %}
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{%- set tool_start_length = tool_start|length %}
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{%- set start_of_message = message.content[:tool_start_length] %}
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{%- set tool_end = '</tool_response>' %}
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{%- set tool_end_length = tool_end|length %}
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{%- set start_pos = (message.content|length) - tool_end_length %}
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{%- if start_pos < 0 %}
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{%- set start_pos = 0 %}
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{%- endif %}
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{%- set end_of_message = message.content[start_pos:] %}
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{%- if ns.multi_step_tool and message.role == "user" and not(start_of_message == tool_start and end_of_message == tool_end) %}
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{%- set ns.multi_step_tool = false %}
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{%- set ns.last_query_index = index %}
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{%- endif %}
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{%- endfor %}
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{%- for message in messages %}
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{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
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{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
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{%- elif message.role == "assistant" %}
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{%- set content = message.content %}
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{%- set reasoning_content = '' %}
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{%- if message.reasoning_content is defined and message.reasoning_content is not none %}
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{%- set reasoning_content = message.reasoning_content %}
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{%- else %}
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{%- if '</think>' in message.content %}
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{%- set content = (message.content.split('</think>')|last).lstrip('\n') %}
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{%- set reasoning_content = (message.content.split('</think>')|first).rstrip('\n') %}
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{%- set reasoning_content = (reasoning_content.split('<think>')|last).lstrip('\n') %}
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{%- endif %}
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{%- endif %}
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{%- if loop.index0 > ns.last_query_index %}
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{%- if loop.last or (not loop.last and reasoning_content) %}
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{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
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{%- else %}
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{{- '<|im_start|>' + message.role + '\n' + content }}
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{%- endif %}
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{%- else %}
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{{- '<|im_start|>' + message.role + '\n' + content }}
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{%- endif %}
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{%- if message.tool_calls %}
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{%- for tool_call in message.tool_calls %}
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{%- if (loop.first and content) or (not loop.first) %}
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{{- '\n' }}
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{%- endif %}
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{%- if tool_call.function %}
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{%- set tool_call = tool_call.function %}
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{%- endif %}
|
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{{- '<tool_call>\n{"name": "' }}
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{{- tool_call.name }}
|
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{{- '", "arguments": ' }}
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{%- if tool_call.arguments is string %}
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{{- tool_call.arguments }}
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{%- else %}
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{{- tool_call.arguments | tojson }}
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{%- endif %}
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{{- '}\n</tool_call>' }}
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{%- endfor %}
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{%- endif %}
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{{- '<|im_end|>\n' }}
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{%- elif message.role == "tool" %}
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{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
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{{- '<|im_start|>user' }}
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{%- endif %}
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{{- '\n<tool_response>\n' }}
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{{- message.content }}
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{{- '\n</tool_response>' }}
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{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
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{{- '<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- endfor %}
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{%- if add_generation_prompt %}
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{{- '<|im_start|>assistant\n' }}
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{%- if enable_thinking is defined and enable_thinking is false %}
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{{- '<think>\n\n</think>\n\n' }}
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{%- endif %}
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{%- endif %}
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77
config.json
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77
config.json
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{
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||||
"architectures": [
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||||
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||||
}
|
||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:45c4ffda6666cf6d75d0b1f961f25964e2a52a62e78aaecb2f458e9ba9824112
|
||||
size 11422840
|
||||
16
tokenizer_config.json
Normal file
16
tokenizer_config.json
Normal file
@@ -0,0 +1,16 @@
|
||||
{
|
||||
"add_prefix_space": false,
|
||||
"backend": "tokenizers",
|
||||
"bos_token": null,
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "<|im_end|>",
|
||||
"errors": "replace",
|
||||
"is_local": false,
|
||||
"model_max_length": 40960,
|
||||
"pad_token": "<|PAD_TOKEN|>",
|
||||
"padding_side": "left",
|
||||
"split_special_tokens": false,
|
||||
"tokenizer_class": "Qwen2Tokenizer",
|
||||
"unk_token": null,
|
||||
"chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].role == 'system' %}\n {{- messages[0].content + '\\n\\n' }}\n {%- endif %}\n {{- \"# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0].role == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0].content + '<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for forward_message in messages %}\n {%- set index = (messages|length - 1) - loop.index0 %}\n {%- set message = messages[index] %}\n {%- set tool_start = '<tool_response>' %}\n {%- set tool_start_length = tool_start|length %}\n {%- set start_of_message = message.content[:tool_start_length] %}\n {%- set tool_end = '</tool_response>' %}\n {%- set tool_end_length = tool_end|length %}\n {%- set start_pos = (message.content|length) - tool_end_length %}\n {%- if start_pos < 0 %}\n {%- set start_pos = 0 %}\n {%- endif %}\n {%- set end_of_message = message.content[start_pos:] %}\n {%- if ns.multi_step_tool and message.role == \"user\" and not(start_of_message == tool_start and end_of_message == tool_end) %}\n {%- set ns.multi_step_tool = false %}\n {%- set ns.last_query_index = index %}\n {%- endif %}\n{%- endfor %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {%- set content = message.content %}\n {%- set reasoning_content = '' %}\n {%- if message.reasoning_content is defined and message.reasoning_content is not none %}\n {%- set reasoning_content = message.reasoning_content %}\n {%- else %}\n {%- if '</think>' in message.content %}\n {%- set content = (message.content.split('</think>')|last).lstrip('\\n') %}\n {%- set reasoning_content = (message.content.split('</think>')|first).rstrip('\\n') %}\n {%- set reasoning_content = (reasoning_content.split('<think>')|last).lstrip('\\n') %}\n {%- endif %}\n {%- endif %}\n {%- if loop.index0 > ns.last_query_index %}\n {%- if loop.last or (not loop.last and reasoning_content) %}\n {{- '<|im_start|>' + message.role + '\\n<think>\\n' + reasoning_content.strip('\\n') + '\\n</think>\\n\\n' + content.lstrip('\\n') }}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- if message.tool_calls %}\n {%- for tool_call in message.tool_calls %}\n {%- if (loop.first and content) or (not loop.first) %}\n {{- '\\n' }}\n {%- endif %}\n {%- if tool_call.function %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {%- if tool_call.arguments is string %}\n {{- tool_call.arguments }}\n {%- else %}\n {{- tool_call.arguments | tojson }}\n {%- endif %}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- message.content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n {%- if enable_thinking is defined and enable_thinking is false %}\n {{- '<think>\\n\\n</think>\\n\\n' }}\n {%- endif %}\n{%- endif %}"
|
||||
}
|
||||
Reference in New Issue
Block a user