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File size: 2,544 Bytes
6ea58d5 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 | # Model upgrade options for better long-form content interpretation
# OPTION 1: Llama 3.1 70B (Best Quality - if you have compute)
LLAMA_70B = {
"model_name": "meta-llama/Llama-3.1-70B-Instruct",
"context_window": "128K tokens",
"quality": "Excellent - best for complex content",
"speed": "Moderate (2-4x slower than 7B)",
"memory_required": "~35GB VRAM",
"fits_on_a100": True,
"upgrade_difficulty": "Easy - just change model name"
}
# OPTION 2: Qwen2.5-32B (Best Balance)
QWEN_32B = {
"model_name": "Qwen/Qwen2.5-32B-Instruct",
"context_window": "128K tokens",
"quality": "Excellent - specialized for reasoning",
"speed": "Fast (1.5-2x slower than 7B)",
"memory_required": "~16GB VRAM",
"fits_on_a100": True,
"upgrade_difficulty": "Easy - just change model name"
}
# OPTION 3: Llama 3.1 8B (Easy Upgrade)
LLAMA_8B = {
"model_name": "meta-llama/Llama-3.1-8B-Instruct",
"context_window": "128K tokens",
"quality": "Very good - better than Mistral-7B",
"speed": "Fast (similar to current)",
"memory_required": "~8GB VRAM",
"fits_on_a100": True,
"upgrade_difficulty": "Trivial - just change model name"
}
# OPTION 4: Claude 3.5 Sonnet via API (Best Overall)
CLAUDE_API = {
"model_name": "claude-3-5-sonnet-20241022",
"context_window": "200K tokens",
"quality": "Excellent - best for nuanced questions",
"speed": "Very fast via API",
"memory_required": "0GB (API-based)",
"cost": "$3 per million input tokens",
"upgrade_difficulty": "Medium - requires API integration"
}
def get_recommended_upgrade():
"""Get the best upgrade based on priorities"""
recommendations = {
"best_quality": LLAMA_70B,
"best_balance": QWEN_32B,
"easiest_upgrade": LLAMA_8B,
"best_overall": CLAUDE_API
}
return recommendations
# Context window comparison
CONTEXT_COMPARISON = {
"Current Mistral-7B": "32K tokens",
"Llama 3.1 8B": "128K tokens (4x more)",
"Llama 3.1 70B": "128K tokens (4x more)",
"Qwen2.5-32B": "128K tokens (4x more)",
"Claude 3.5 Sonnet": "200K tokens (6x more)"
}
# Performance for long-form content
LONG_FORM_PERFORMANCE = {
"Mistral-7B": "Good for simple questions",
"Llama 3.1 8B": "Better reasoning, longer context",
"Qwen2.5-32B": "Excellent reasoning, great for complex content",
"Llama 3.1 70B": "Superior understanding, best for nuanced questions",
"Claude 3.5 Sonnet": "Best overall, excellent at context understanding"
}
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