A specialized AI advisor for social media strategy, optimized for performance
This repository hosts a quantized version of Microsoft's Phi-2 model fine-tuned specifically for social media strategy advising. The model provides data-driven recommendations on posting frequency, content strategy, hashtag usage, optimal timing, and monetization across major social platforms.
🚀 Model Overview
The Social Media Advisor has been carefully crafted through:
Fine-tuning on a specialized dataset of social media best practices
Conversion to GGUF format for wider compatibility
4-bit quantization for efficient deployment on consumer hardware
💻 Technical Specifications
Feature
Details
Base Model
Microsoft Phi-2 (2.7B parameters)
Training Method
LoRA fine-tuning with 4-bit quantization
Quantization
Q4_K_M (4-bit, medium precision)
File Size
~1700 MB
Format
GGUF (compatible with llama.cpp ecosystem)
Input Format
User: [query]\nAssistant:
Context Length
2048 tokens
📦 Available Models
phi2-social-media-advisor-q4_k_m.gguf: Our recommended model with the optimal balance between size, speed, and quality
4-bit quantization
Medium precision
Excellent performance on CPU
Suitable for deployment on most consumer hardware
🔍 Model Capabilities
The model excels at providing tailored advice for:
Posting Strategy: Optimal frequency and timing based on platform and audience size
Content Optimization: Formats and styles that drive highest engagement
Hashtag Strategy: Ideal number and combinations for discovery
Monetization: Pricing guidance for sponsored content based on follower count and engagement
Growth Tactics: Targeted approaches to increase follower count and engagement rate
🛠️ Usage Guide
This model is compatible with the entire llama.cpp ecosystem, including:
llama.cpp CLI
llama-cpp-python
text-generation-webui
LM Studio
Ollama
ChatBox
Command Line Example
bash
1# Basic usage with llama.cpp2./main -m phi2-social-media-advisor-q4_k_m.gguf -p "User: How often should I post on Instagram if I have 10,000 followers and 4.2% engagement rate?\nAssistant:"34# With context parameters5./main -m phi2-social-media-advisor-q4_k_m.gguf -c 2048 --temp 0.7 -p "User: How often should I post on Instagram if I have 10,000 followers and 4.2% engagement rate?\nAssistant:"
Python Integration
python
1from llama_cpp import Llama
23# Load the model4model = Llama(5 model_path="phi2-social-media-advisor-q4_k_m.gguf",6 n_ctx=2048,7 n_threads=4# Adjust based on your CPU8)910# Generate a response11prompt ="User: What's the best time to post on LinkedIn for B2B content?\nAssistant:"12output = model.generate(13 prompt,14 max_tokens=512,15 temperature=0.7,16 top_p=0.95,17 repeat_penalty=1.118)1920print(output['choices'][0]['text'])
🎯 Sample Outputs
Example 1: Posting Strategy
User: How often should I post on Instagram if I have 10,000 followers and 4.2% engagement rate? Assistant: For Instagram accounts with 10,000-50,000 followers and 4.2% engagement, posting 4-5 times per week is optimal based on analysis of top-performing accounts. Consistency is key - stick to a regular schedule to maintain algorithm visibility. Your engagement rate is quite good (above average), so focus on quality content that continues to drive this level of interaction rather than increasing frequency.
Example 2: Content Optimization
User: What type of content performs best on TikTok for accounts with 50,000 followers? Assistant: With 50,000 followers on TikTok, you should prioritize short-form video content that includes behind-the-scenes and tutorial-style formats. Top creators in your category see 40% higher engagement with this content type compared to other formats. Focus on authentic, trending audio paired with educational or entertaining content that provides clear value in under 30 seconds.
Example 3: Monetization Strategy
User: How much should I charge for a sponsored Instagram post with 75,000 followers in the fitness niche? Assistant: With 75,000 followers in the fitness niche on Instagram, you can typically charge ₹20,000-₹40,000 for a standard feed post. For Stories, pricing ranges from ₹15,000-₹25,000, while Reels command ₹30,000-₹60,000 due to their higher engagement. Factor in your specific engagement rate (industry average is 2-3% for fitness) and adjust accordingly - each 1% above average can justify a 10-15% price premium.
