Qwen / text-generation updated 1 year ago

Qwen2.5-Coder-32B-Instruct-GGUF

Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen). As of now, Qwen2.5-Coder has covered six mainstream model sizes, 0.5, 1.5, 3, 7, 14, 32 billion parameters, to meet the needs of different developers. Qwen2.5-Coder brings the following improvements upon CodeQwen1.5:

Params
Context
Downloads 30d
201 K
Likes
219
Commercial use: allowed apache-2.0 Not gated GGUF 1 languages View on Hugging Face ↗

Download history

daily snapshots · 10 days
215 K201 K
Jul 28Jul 31Aug 3Aug 6

Can you run it?

Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.

FileQuantSizeEst. VRAMVerdict on RTX 4090 · 24 GB
qwen2.5-coder-32b-instruct-fp16-00001-of-00009.gguf GGUF 7.8 GB 9.1 GB ✅ Runs comfortably
qwen2.5-coder-32b-instruct-q2_k.gguf Q2_K 12.3 GB 14.0 GB ✅ Runs comfortably
qwen2.5-coder-32b-instruct-q3_k_m.gguf Q3_K_M 15.9 GB 18.0 GB ✅ Runs comfortably
qwen2.5-coder-32b-instruct-q4_0.gguf Q4_0 18.6 GB 21.0 GB ⚠️ Tight — reduce context
qwen2.5-coder-32b-instruct-q4_k_m.gguf Q4_K_M 19.9 GB 22.3 GB ⚠️ Tight — reduce context
qwen2.5-coder-32b-instruct-q5_0.gguf Q5_0 22.6 GB 25.4 GB ❌ Won’t fit
qwen2.5-coder-32b-instruct-q5_k_m.gguf Q5_K_M 23.3 GB 26.1 GB ❌ Won’t fit
qwen2.5-coder-32b-instruct-q6_k.gguf Q6_K 26.9 GB 30.1 GB ❌ Won’t fit
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.

Run it

copy-paste, exact tags checked against the Hub
~ · ollama · Q4_0
$ ollama run qwen2-5-coder-32b-instruct-gguf

# pin the quantization explicitly
$ ollama run qwen2-5-coder-32b-instruct-gguf-q4_0
est. VRAM 21.0 GBon RTX 4090 · 24 GBJSON API →

Specifications

Licence
apache-2.0
First seen on the Hub
2024-11-09
Base model
Qwen2.5-Coder-32B-Instruct
Training datasets
undisclosed
Added to our catalog
2026-07-28

Family

Base model and the most-downloaded derivatives in the catalog.

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