Public preview · figures are illustrative fixture data, attributed to their source · data to May 2025 · read-only
Model · Qwen2.5-Coder · November 2024 Fixture data

Qwen2.5-Coder 32B

A 33 billion-parameterHow many numbers the model learned during training — the usual rough measure of its size. dense model from Qwen Team (Alibaba Cloud). Code models up to 32B.

Size
32.8Bdense
Memory to run
~21 GBsmallest, 8K ctx
Context
128Ktokens
License
PermissiveApache License 2.0
Updated
13 Sept 2026

Which version to use

Where it runs

Best-fitting version on each reference system, at an 8K contextHow much text the model can consider at once, counted in tokens — roughly ¾ of a word each..

Runs well 11

Slowly (CPU or offload) 2

Too large 0

None of the reference systems.

Benchmarks

Each benchmarkA fixed set of questions every model is given, so their scores can be compared on the same task. is developer-reported; prompts and settings differ between labs. Bars are relative to the best open result.

BenchmarkQwen2.5-Coder 32B Instruct
Benchmark HumanEvalpass@1
92.7src
Benchmark LiveCodeBenchpass@1
31.4src

developer reported

Variants & downloads

Each variant is a separate set of weights. Expand one for its downloads: quantizationStoring each of the model’s numbers with fewer bits, so the file is smaller and needs less memory. trades a little quality for a much smaller file, and the memory column adds the working memoryExtra space the model needs while it answers. It grows with the length of the conversation, on top of the file itself. a conversation needs on top.

Variant Qwen2.5-Coder 32B Instructcoder · Qwen Team (Alibaba Cloud) · 4 downloads · Apache License 2.0Permissive
What it is
Specialised for writing and editing code.
Publisher
Qwen Team (Alibaba Cloud)
License
Apache License 2.0 · commercial use allowed
Released
12 Nov 2024

Contributions are not open yet, so there is nothing here from members.

QuantizationFormatBitsDownloadMemory @ 8KPublisher
Download BF16nativesafetensors1661.0 GiB~66.0 GiBQwen Team (Alibaba Cloud)Qwen/Qwen2.5-Coder-32B-Instruct
Download Q8_0legacy ggufgguf8.532.4 GiB~36.2 GiBLM Studio Communitylmstudio-community/Qwen2.5-Coder-32B-Instruct-GGUF
Download Q4_K_Mk quantgguf4.8918.7 GiB~21.9 GiBQwen Team (Alibaba Cloud)Qwen/Qwen2.5-Coder-32B-Instruct-GGUF
Download MLX 4-bitmlxmlx4.517.2 GiB~20.4 GiBMLX Communitymlx-community/Qwen2.5-Coder-32B-Instruct-4bit
Architecture detailsLayers, attention and KV cache geometry
Parameters
32.76B
Active / token
All (dense)
Architecture
Dense
Layers
64
Attention heads
40
KV heads
8
Head dim
128
KV cache @ 8K (fp16)
2.00 GiB
Max context
131,072 tokens

Measured performance

Throughput on specific systems and runtimes, with the source of each measurement.

No performance measurements recorded yet.

Community results

Contributions are not open yet, so there is nothing here from members.

Reviews

Contributions are not open yet, so there is nothing here from members.

Lineage

How this model’s variants relate to each other and to other models.

Sources & history

Sources

  • Mutinai illustrative fixtures (illustrative fixture, 1 record, 13 Sept 2026)

External identifiers

Timeline

  1. Qwen2.5-Coder 32B released