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Your Data.
Best Model. Matched.
SLMGEN analyzes your dataset and scores 11 small language models to find the perfect fit for your task and deployment target.
One notebook. Zero setup. Ready to train.
11
SLM Models
from 1B to 7B
6
Task Types
classify to generation
100%
Free
runs on Colab T4
6
Deploy Targets
cloud to mobile
Supported Models
Phi-4 Mini
3.8B
Phi-3.5 Mini
3.8B
Llama 3.2 3B
3B
Llama 3.2 1B
1B
Gemma 2
2B
Qwen 2.5
3B
Mistral
7B
SmolLM2
1.7B
TinyLlama
1.1B
DeepSeek Coder
1.3B
StableLM
3B
How It Works
Upload
Drop your ChatML JSONL dataset
Analyze
Auto-detect tokens, quality, format
Match
AI scores models by task + deploy fit
Generate
Get your self-contained Colab notebook
Why SLMGEN?
100-Point Scoring
AI scores each model based on 3 distinct factors: Task Fit (50pts), Deployment Target (30pts), and Data Characteristics (20pts).
Self-Contained Notebooks
No messy uploads. Your dataset is base64-embedded directly into the generated notebook. Just open in Colab and hit "Run All".
Cloud to Mobile
Optimized export targets for GGUF (Llama.cpp), Ollama, and vLLM. Deploy anywhere from A100s to edge devices.