Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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VS
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Llama 3 8B Quant

GPT4All

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

DeepSeek Coder V2

A-TIER

Ollama

Intelligence Score 85/100
Context Window 64K tokens
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

DeepSeek Coder V2 Wins

With an intelligence score of 85/100 vs 71/100, DeepSeek Coder V2 outperforms Llama 3 8B Quant by 14 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Llama 3 8B Quant
DeepSeek Coder V2
Context Window
Local 64K tokens
Architecture
Transformer (Open Weight) Dense Transformer
Est. MMLU Score
~65-69% ~80-84%
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
No specific data
Performance Tier
C-Tier (Good) A-Tier (Excellent)
Speed Estimate
⚡ Very Fast Medium
Primary Use Case
General Purpose 💻 Code Generation
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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