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Qwen · open-weights

Qwen2.5-72B

Qwen2.5-72B is an open-weights language model from Qwen, released September 19, 2024. It has 73B parameters (dense). The context window is 128K tokens. On the Epoch Capabilities Index it scores 127.2, rank 165 of 256 rated models.

Check it against your own PC →

Lab
Qwen
Released
September 19, 2024
Weights
Open qwen
Parameters
73B dense
Context
128K
Price / M tokens
–
Epoch ECI
127.2 #165

Can you run Qwen2.5-72B locally?

The smallest common GPU it runs on is 24 GB of VRAM (with 32 GB of RAM): IQ2_XXS, split GPU / CPU, roughly 12 tokens per second. Estimates assume 32 GB of DDR5 RAM, a 16K context and llama.cpp-style GGUF quantization. Enter your exact hardware in the live app.

GPU memoryVerdictBest quantVRAMRAMtok/s
6 GB VRAMToo large––––
8 GB VRAMVery slowIQ2_XXS (heavy loss)7.2 GB17.5 GB~2
12 GB VRAMVery slowIQ2_XXS (heavy loss)11.2 GB13.5 GB~2
16 GB VRAMVery slowIQ2_XXS (heavy loss)15.2 GB9.5 GB~3
24 GB VRAMRuns, slowlyIQ2_XXS (heavy loss)23.2 GB1.5 GB~12
32 GB VRAMRuns on GPUIQ2_M (heavy loss)30.5 GB–~42

Ready-made quantizations on Hugging Face: ThomasBaruzier/Qwen2.5-72B-Instruct-GGUF · mradermacher/Qwen2.5-72B-i1-GGUF · mradermacher/Qwen2.5-72B-GGUF · zetasepic/Qwen2.5-72B-Instruct-abliterated-v2-GGUF · featherless-ai-quants/Qwen-Qwen2.5-72B-GGUF · billatsectorflow/Qwen2.5-72B-Instruct-GPTQ-Int4-128K

Strengths by category

ModelTape's 0–100 fit on Epoch AI benchmark results.

CategoryScoreBased on
Math15.7MATH level 5, OTIS Mock AIME 2024-2025
Agent10.2Balrog, The Agent Company, OSWorld
Knowledge34.8GPQA diamond, MMLU

Benchmark results

Benchmark (Epoch AI)Score
MMLU80.4%
MATH level 563.2%
GPQA Diamond33.5%
Balrog16.2%
OTIS Mock AIME8.0%
The Agent Company5.7%
OSWorld5.0%

Links

Hugging Face: Qwen/Qwen2.5-72B · Epoch AI benchmarks

Models with a similar score

Qwen2.5-Max · Gemini 1.5 Pro (Sept 2024) · Claude 3.5 Sonnet · Grok-2 (Dec 2024) · Phi-4 · GPT-4o (Nov 2024) · GPT-4o (May 2024) · Llama 3.1-405B

More from Qwen

Qwen3.8 Omni Flash · Qwen3.8 Max (0902) · Qwen3.8 Flash · Qwen3.8 Flash Next · Qwen 3.8 27B · Qwen3.8-2.4T-A95B · Qwen 3.8 Max · Qwen3.7 Flash

Data updated Thu, 12 Nov 2026 09:42 UTC. Benchmarks, Capabilities Index and model announcements: Epoch AI, “Capabilities & benchmarking” and “Data on AI models” (CC BY 4.0); category scores are ModelTape's own fit on Epoch's results. Releases and prices: models.dev (MIT). Sizes and quantizations: Hugging Face. “Runs on” figures are estimates from model size, quantization and memory bandwidth (±30–50%).
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