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

Gemma 2 9B Instruct

A-TIER

Hugging Face Inference

Intelligence Score 80/100
Context Window 8k
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Gemma 2 9B Instruct Wins

With an intelligence score of 80/100 vs 71/100, Gemma 2 9B Instruct outperforms Llama 3 8B Quant by 9 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Llama 3 8B Quant
Gemma 2 9B Instruct
Context Window
Local 8k
Architecture
Transformer (Open Weight) Transformer
Est. MMLU Score
~65-69% ~75-79%
Release Date
2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Hardware dependent 300 Requests / hour
Daily Limit
Unlimited Dependent on global load
Capabilities
No specific data
No specific data
Performance Tier
C-Tier (Good) B-Tier (Strong)
Speed Estimate
⚡ Very Fast Medium
Primary Use Case
General Purpose General Purpose
Model Size
8B 9B
Limitations
  • Slower than GPU inference
  • Limited to supported quantized formats
  • UI is basic
  • Rate limited to ~300 request/hour for free users
  • Models larger than 10GB may not load
  • Cold starts can occur
Key Strengths
  • LocalDocs: Chat with your files privately
  • Nomic Embed Text: High quality embeddings
  • CPU Optimized (AVX2)
  • Serverless Inference
  • Instant Model Loading
  • Text Generation

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