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Model: skshmjn/llama-3.2-1B-Mongo-query-generator
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---
base_model: unsloth/Llama-3.2-1B-Instruct
tags:
- text-generation
- mongodb
- query-generation
- transformers
- unsloth
- llama
- trl
- gguf
- quantized
license: apache-2.0
language:
- en
datasets:
- skshmjn/mongo_prompt_query
pipeline_tag: text-generation
library_name: transformers
---
# MongoDB Query Generator - Llama-3.2-1B (Fine-tuned)
- **Developed by:** skshmjn
- **License:** apache-2.0
- **Finetuned from model:** [unsloth/Llama-3.2-1B-Instruct](https://huggingface.co/unsloth/Llama-3.2-1B-Instruct)
- **Dataset Used:** [skshmjn/mongodb-chat-query](https://huggingface.co/datasets/skshmjn/mongodb-chat-query)
- **Supports:** Transformers & GGUF (for fast inference on CPU/GPU)
## 🚀 **Model Overview**
This model is designed to **generate MongoDB queries** from natural language prompts. It supports:
- **Basic CRUD operations:** `find`, `insert`, `update`, `delete`
- **Aggregation Pipelines:** `$group`, `$match`, `$lookup`, `$sort`, etc.
- **Indexing & Performance Queries**
- **Nested Queries & Joins (`$lookup`)**
Trained using **Unsloth** for efficient fine-tuning and **GGUF quantization** for fast inference.
---
## 📌 **Example Usage (Transformers)**
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model_name = "skshmjn/Llama-3.2-1B-Mongo-Instruct"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name)
schema = {} # Pass your mongodb schema here, leave empty for generic queries. Sample available in hugging face's repository
prompt = "Here is mongodb schema {schema} and Find all employees older than 30 in the 'employees' collection."
inputs = tokenizer(prompt, return_tensors="pt")
output = model.generate(**inputs, max_length=100)
query = tokenizer.decode(output[0], skip_special_tokens=True)
print(query)

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{
"model_type": "llama"
}

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"bos_token_id": 128000,
"do_sample": true,
"eos_token_id": [
128001,
128008,
128009
],
"max_length": 131072,
"pad_token_id": 128004,
"temperature": 0.6,
"top_p": 0.9,
"transformers_version": "4.49.0"
}

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{
"database": {
"name": "customer360_retail_db",
"collections": [
{
"name": "customers",
"fields": {
"_id": "ObjectId",
"customer_id": "String",
"first_name": "String",
"last_name": "String",
"email": "String",
"phone": "String",
"date_of_birth": "Date",
"gender": "String",
"registration_date": "Date",
"customer_segment": "String",
"preferences": "Array",
"address": {
"street": "String",
"city": "String",
"state": "String",
"zipcode": "String",
"country": "String"
},
"opt_in_marketing": "Boolean",
"created_at": "Date",
"updated_at": "Date"
},
"indexes": [
{"customer_id": 1, "unique": true},
{"email": 1, "unique": true},
{"phone": 1},
{"customer_segment": 1}
]
},
{
"name": "transactions",
"fields": {
"_id": "ObjectId",
"transaction_id": "String",
"customer_id": "String",
"transaction_date": "Date",
"items_purchased": [
{
"product_id": "String",
"product_name": "String",
"category": "String",
"quantity": "Int",
"price": "Double"
}
],
"payment_method": "String",
"total_amount": "Double",
"store_id": "String",
"channel": "String",
"created_at": "Date"
},
"indexes": [
{"transaction_id": 1, "unique": true},
{"customer_id": 1},
{"transaction_date": -1},
{"store_id": 1}
]
},
{
"name": "products",
"fields": {
"_id": "ObjectId",
"product_id": "String",
"name": "String",
"description": "String",
"category": "String",
"sub_category": "String",
"brand": "String",
"price": "Double",
"available": "Boolean",
"created_at": "Date",
"updated_at": "Date"
},
"indexes": [
{"product_id": 1, "unique": true},
{"category": 1},
{"brand": 1},
{"available": 1}
]
},
{
"name": "web_activities",
"fields": {
"_id": "ObjectId",
"activity_id": "String",
"customer_id": "String",
"session_id": "String",
"activity_type": "String",
"page_url": "String",
"referrer": "String",
"device": {
"device_type": "String",
"browser": "String",
"os": "String"
},
"activity_timestamp": "Date",
"metadata": "Object",
"created_at": "Date"
},
"indexes": [
{"activity_id": 1, "unique": true},
{"customer_id": 1},
{"session_id": 1},
{"activity_type": 1},
{"activity_timestamp": -1}
]
},
{
"name": "marketing_campaigns",
"fields": {
"_id": "ObjectId",
"campaign_id": "String",
"name": "String",
"description": "String",
"start_date": "Date",
"end_date": "Date",
"channels": "Array",
"segment_targets": "Array",
"status": "String",
"budget": "Double",
"spent": "Double",
"performance_metrics": "Object",
"created_at": "Date",
"updated_at": "Date"
},
"indexes": [
{"campaign_id": 1, "unique": true},
{"name": 1},
{"status": 1},
{"start_date": -1}
]
},
{
"name": "support_interactions",
"fields": {
"_id": "ObjectId",
"interaction_id": "String",
"customer_id": "String",
"date": "Date",
"channel": "String",
"support_agent": "String",
"reason": "String",
"resolution_status": "String",
"resolution_time_minutes": "Int",
"notes": "String",
"created_at": "Date"
},
"indexes": [
{"interaction_id": 1, "unique": true},
{"customer_id": 1},
{"date": -1},
{"resolution_status": 1}
]
},
{
"name": "loyalty_program",
"fields": {
"_id": "ObjectId",
"customer_id": "String",
"loyalty_number": "String",
"points": "Int",
"membership_tier": "String",
"enrolled_date": "Date",
"last_activity_date": "Date",
"rewards_redeemed": "Array",
"created_at": "Date",
"updated_at": "Date"
},
"indexes": [
{"customer_id": 1, "unique": true},
{"loyalty_number": 1, "unique": true},
{"membership_tier": 1}
]
},
{
"name": "analytics_reports",
"fields": {
"_id": "ObjectId",
"report_id": "String",
"generated_date": "Date",
"report_type": "String",
"time_period": {
"start_date": "Date",
"end_date": "Date"
},
"parameters": "Object",
"result": "Object",
"generated_by": "String",
"created_at": "Date"
},
"indexes": [
{"report_id": 1, "unique": true},
{"report_type": 1},
{"generated_date": -1}
]
},
{
"name": "users",
"fields": {
"_id": "ObjectId",
"user_id": "String",
"name": "String",
"email": "String",
"password_hash": "String",
"role": "String",
"permissions": "Array",
"created_at": "Date"
},
"indexes": [
{"user_id": 1, "unique": true},
{"email": 1, "unique": true},
{"role": 1}
]
}
]
}
}

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"bos_token": {
"content": "<|begin_of_text|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false
},
"eos_token": {
"content": "<|eot_id|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false
},
"pad_token": {
"content": "<|finetune_right_pad_id|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false
}
}

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