Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Llama 3 8B Quant

GPT4All

Intelligence Score 71/100
Model Popularity 0 votes
Context Window Local
Pricing Model Free / Open

Phi-3.5 Mini

Ollama

Intelligence Score 65/100
Context Window 128K tokens
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Llama 3 8B Quant Wins

With an intelligence score of 71/100 vs 65/100, Llama 3 8B Quant outperforms Phi-3.5 Mini by 6 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Llama 3 8B Quant
Phi-3.5 Mini
Context Window
Local 128K tokens
Architecture
Transformer (Open Weight) Transformer
Est. MMLU Score
~65-69% ~60-64%
Release Date
2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Hardware dependent Hardware limited
Daily Limit
Unlimited Unlimited
Capabilities
No specific data
Reasoning
Performance Tier
C-Tier (Good) C-Tier (Good)
Speed Estimate
âš¡ Very Fast âš¡ Very Fast
Primary Use Case
General Purpose âš¡ Fast Chat & Apps
Model Size
8B Undisclosed
Limitations
  • Slower than GPU inference
  • Limited to supported quantized formats
  • UI is basic
  • Depends on your RAM/GPU
  • Laptop fans will spin up
  • Large models (70B+) need heavy hardware
Key Strengths
  • LocalDocs: Chat with your files privately
  • Nomic Embed Text: High quality embeddings
  • CPU Optimized (AVX2)
  • Local Inference: Data never leaves your device
  • Modelfiles: Script your own system prompts
  • API: Local REST API for app integration

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