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ModelTape / Models / Qwen2.5-Coder (7B)
Qwen · open-weights

Qwen2.5-Coder (7B)

Qwen2.5-Coder (7B) is an open-weights language model from Qwen, released September 18, 2024. On the Epoch Capabilities Index it scores 107.7, rank 206 of 256 rated models.

Check it against your own PC →

Lab
Qwen
Released
September 18, 2024
Weights
Open unrestricted
Parameters
–
Context
–
Price / M tokens
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Epoch ECI
107.7 #206

Can you run Qwen2.5-Coder (7B) locally?

Even with 32 GB of VRAM and 32 GB of RAM it is too large to run at a usable speed on a single consumer GPU. 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 VRAMSize unknown––––
8 GB VRAMSize unknown––––
12 GB VRAMSize unknown––––
16 GB VRAMSize unknown––––
24 GB VRAMSize unknown––––
32 GB VRAMSize unknown––––

Parameter count unknown. The weights may not be on Hugging Face yet.

Benchmark results

Benchmark (Epoch AI)Score
MMLU57.3%

Links

Epoch AI benchmarks

Models with a similar score

Llama 3.1-8B · phi-3-mini 3.8B · Stable Beluga 2 · Llama 3-8B · Falcon-180B · GPT-3.5 Turbo (Jun 2023) · Llama 2-70B

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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