Qwen2.5 72B Instruct
The flagship Qwen 2.5 release. Competes with Llama 3.1 405B on many benchmarks at one-fifth the parameter count. Note the 72B specifically uses the Qwen License (commercial use up to 100M MAU) — the smaller Qwen2.5 sizes are Apache 2.0.
- Parameters
- 72B
- Context length
- 128K
- Modality
- text
- Released
- 2024-09-18
Memory & hardware
- VRAM (fp16)
- 144 GB
- VRAM (Q4)
- 43.2 GB
- Recommended
- 2× A100 80GB or H100 80GB (Q4)
- Quantizations
- fp16, fp8, q8_0, q5_k_m, q4_k_m
Benchmarks
Hosted inference pricing
USD per million tokens.
| Provider | Input | Output | |
|---|---|---|---|
| togetherCheapest | $1.20 | $1.20 |
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.
ollama run qwen2.5:72b
vllm serve Qwen/Qwen2.5-72B-Instruct
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen2.5-72B-Instruct")
model = AutoModelForCausalLM.from_pretrained(
"Qwen/Qwen2.5-72B-Instruct", device_map="auto", torch_dtype="auto"
)Qwen/Qwen2.5-72B-Instruct Related models
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