Falcon 3 10B Instruct

Overview

TII's depth-upscaled 10B successor to Falcon 3 7B, hitting MMLU 73.1 and GSM8K 83.1 — state-of-the-art under 13B at release.

When to pick this model

• General chat where 7B is too weak and 13B too costly
• Multilingual production deploys across five EU languages
• Math-leaning tasks needing GSM8K 83+ at small scale
• Replacing Llama 3 8B with stronger benchmark numbers
• Workloads benefiting from 32k context

VRAM requirements by quantization

VRAM figures include model weights plus a typical 8k KV cache and ~600 MB runtime overhead (Ollama / llama.cpp baseline). Add headroom for higher context lengths.

Published benchmark scores

Scores published by the model author or aggregated from public leaderboards. Re-measured monthly by our editorial team.

Strengths

• SOTA among sub-13B models at release
• MMLU 73.1 with strong knowledge breadth
• Efficient depth-upscaled design from the 7B base
• Five-language coverage with permissive licensing
• Strong GSM8K performance for the size class

Limitations

• TII Falcon-LLM 2.0 license, not Apache 2.0
• Limited fine-tune ecosystem versus Llama derivatives
• No multimodal version available

Architecture & training

Architecture: Dense 10B · depth-upscaled from 7B

Training: Successor to the 7B.

Quick start

ollama run falcon3:10b

Or use the open-source MCP server to query this model from Claude Desktop, Cursor, or any MCP-compatible client.