OSAIM
Open Source AI Models

Falcon 3 7B Instruct

TII's latest dense 7B from December 2024. Strong scores on commonsense reasoning benchmarks. TII's Falcon licence permits royalty-free commercial use with attribution.

Parameters
7B
Context length
33K
Modality
text
Released
2024-12-17

Memory & hardware

VRAM (fp16)
14 GB
VRAM (Q4)
4.2 GB
Recommended
RTX 3090 24GB
Quantizations
fp16, q8_0, q5_k_m, q4_k_m

License: Falcon 2 TII License

SPDX
Commercial use
Yes
Modification
Yes
Redistribution
Yes

Benchmarks

MMLU
68.5
HumanEval
56.7
MATH
39.3
Benchmarks last verified 2026-05-18.

Hosted inference pricing

No hosted pricing listed — this model is currently self-host-only on this site.

Run it yourself

Drop-in commands for the three most common open-source inference paths. The Ollama tag is a best-effort match against the registry; verify the size variant before pulling.

Run Falcon 3 7B Instruct locally
Ollama (easiest)
ollama run falcon3:7b
Single-line install + run; uses the official Ollama registry tag for this family.
vLLM (production)
vllm serve tiiuae/Falcon3-7B-Instruct
High-throughput hosted inference; one command to expose an OpenAI-compatible HTTP server.
Transformers (Python)
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("tiiuae/Falcon3-7B-Instruct")
model = AutoModelForCausalLM.from_pretrained(
    "tiiuae/Falcon3-7B-Instruct", device_map="auto", torch_dtype="auto"
)
Direct PyTorch usage. Pin a torch / cuda version that matches your GPU.
Hugging Face ID: tiiuae/Falcon3-7B-Instruct

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