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Qwen2.5-32B-Instruct-abliterated-v2 by zetasepic | AI Market Cap

Qwen2.5-32B-Instruct-abliterated-v2

Large Language ModelsOpen Weights

Z

zetasepic

Qwen2.5-32B-Instruct-abliterated-v2 is a open-weight zetasepic llm model with a 131,072 token context window.

Running this yourself: likely needs a rented cloud gpu.

Model updates refreshed10m agoSep 16, 2026news + changelog

Website View Updates View Plan

Rates & subscription access

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Tracked access rates

Live access is not confirmed for this model. No current purchase price is advertised.

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Confirm this specific model, usage limits, and billing terms with the provider. A subscription does not automatically include API credits.

No login needed to compare. Prices are in USD; provider charges are separate from AI Market Cap plans. Context length, caching, tools, taxes, and regional terms can change the final cost. Open weights do not mean free hosting.

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Quality Score

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Arena ELO

33B

Parameters

131K

Context

Evidence profile

How complete is this record?

This measures the amount of verifiable public evidence we have, not how capable the model is. A missing field means it has not been verified yet, not that its value is zero.

68%

coverage

Developing evidence

15 of 22 public signals

Technical profile80%

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266

Downloads

17

Likes

Oct 2024

Released

4/5 signals

Evaluation50%

2/4 signals

Access & cost80%

4/5 signals

Adoption75%

3/4 signals

Provenance50%

2/4 signals

Gaps we are still tracking

verified descriptionverified pricingindependent metadata source

Benchmarks

19

high

Open Source

1

medium

What Changed Recently

Recent launch, pricing, benchmark, and API signals linked to this model or its provider.

BenchmarksToday

zetasepic/Qwen2.5-32B-Instruct-abliterated-v2 — Open LLM Leaderboard #15

Avg: 46.9 | IFEval: 83.3 | BBH: 56.5 | MATH: 59.5 | GPQA: 15.7 | MMLU-PRO: 51.4

BenchmarksToday

zetasepic/Qwen2.5-32B-Instruct-abliterated-v2 — Open LLM Leaderboard #15

Avg: 46.9 | IFEval: 83.3 | BBH: 56.5 | MATH: 59.5 | GPQA: 15.7 | MMLU-PRO: 51.4

Benchmarks & Rankings19

LeaderboardToday

zetasepic/Qwen2.5-32B-Instruct-abliterated-v2 — Open LLM Leaderboard #15

Avg: 46.9 | IFEval: 83.3 | BBH: 56.5 | MATH: 59.5 | GPQA: 15.7 | MMLU-PRO: 51.4

#benchmark#open-llm-leaderboard#🔶 fine-tuned on domain-specific datasets

Other

ollama-libraryzetasepicopen_sourceopen sourceToday

Qwen2.5-32B-Instruct-abliterated-v2 is now available on Ollama

76.8

DeepSeek-R1-0528#408

DeepSeek·Unknown

deepseek-v3#375

DeepSeek-V3#216

BenchmarksYesterday

zetasepic/Qwen2.5-32B-Instruct-abliterated-v2 — Open LLM Leaderboard #15

Avg: 46.9 | IFEval: 83.3 | BBH: 56.5 | MATH: 59.5 | GPQA: 15.7 | MMLU-PRO: 51.4

Benchmarks2d ago

zetasepic/Qwen2.5-32B-Instruct-abliterated-v2 — Open LLM Leaderboard #15

Avg: 46.9 | IFEval: 83.3 | BBH: 56.5 | MATH: 59.5 | GPQA: 15.7 | MMLU-PRO: 51.4

Benchmarks3d ago

zetasepic/Qwen2.5-32B-Instruct-abliterated-v2 — Open LLM Leaderboard #15

Avg: 46.9 | IFEval: 83.3 | BBH: 56.5 | MATH: 59.5 | GPQA: 15.7 | MMLU-PRO: 51.4

LeaderboardToday

zetasepic/Qwen2.5-32B-Instruct-abliterated-v2 — Open LLM Leaderboard #15

Avg: 46.9 | IFEval: 83.3 | BBH: 56.5 | MATH: 59.5 | GPQA: 15.7 | MMLU-PRO: 51.4

#benchmark#open-llm-leaderboard#🔶 fine-tuned on domain-specific datasets

LeaderboardYesterday

zetasepic/Qwen2.5-32B-Instruct-abliterated-v2 — Open LLM Leaderboard #15

Avg: 46.9 | IFEval: 83.3 | BBH: 56.5 | MATH: 59.5 | GPQA: 15.7 | MMLU-PRO: 51.4

#benchmark#open-llm-leaderboard#🔶 fine-tuned on domain-specific datasets

Leaderboard2d ago

zetasepic/Qwen2.5-32B-Instruct-abliterated-v2 — Open LLM Leaderboard #15

Avg: 46.9 | IFEval: 83.3 | BBH: 56.5 | MATH: 59.5 | GPQA: 15.7 | MMLU-PRO: 51.4

#benchmark#open-llm-leaderboard#🔶 fine-tuned on domain-specific datasets

Leaderboard3d ago

zetasepic/Qwen2.5-32B-Instruct-abliterated-v2 — Open LLM Leaderboard #15

Avg: 46.9 | IFEval: 83.3 | BBH: 56.5 | MATH: 59.5 | GPQA: 15.7 | MMLU-PRO: 51.4

#benchmark#open-llm-leaderboard#🔶 fine-tuned on domain-specific datasets

Leaderboard4d ago

zetasepic/Qwen2.5-32B-Instruct-abliterated-v2 — Open LLM Leaderboard #15

Avg: 46.9 | IFEval: 83.3 | BBH: 56.5 | MATH: 59.5 | GPQA: 15.7 | MMLU-PRO: 51.4

#benchmark#open-llm-leaderboard#🔶 fine-tuned on domain-specific datasets

Leaderboard6d ago

zetasepic/Qwen2.5-32B-Instruct-abliterated-v2 — Open LLM Leaderboard #15

Avg: 46.9 | IFEval: 83.3 | BBH: 56.5 | MATH: 59.5 | GPQA: 15.7 | MMLU-PRO: 51.4

#benchmark#open-llm-leaderboard#🔶 fine-tuned on domain-specific datasets

Leaderboard6d ago

zetasepic/Qwen2.5-32B-Instruct-abliterated-v2 — Open LLM Leaderboard #15

Avg: 46.9 | IFEval: 83.3 | BBH: 56.5 | MATH: 59.5 | GPQA: 15.7 | MMLU-PRO: 51.4

#benchmark#open-llm-leaderboard#🔶 fine-tuned on domain-specific datasets

Leaderboard1w ago

zetasepic/Qwen2.5-32B-Instruct-abliterated-v2 — Open LLM Leaderboard #15

Avg: 46.9 | IFEval: 83.3 | BBH: 56.5 | MATH: 59.5 | GPQA: 15.7 | MMLU-PRO: 51.4

#benchmark#open-llm-leaderboard#🔶 fine-tuned on domain-specific datasets

Leaderboard1w ago

zetasepic/Qwen2.5-32B-Instruct-abliterated-v2 — Open LLM Leaderboard #15

Avg: 46.9 | IFEval: 83.3 | BBH: 56.5 | MATH: 59.5 | GPQA: 15.7 | MMLU-PRO: 51.4

#benchmark#open-llm-leaderboard#🔶 fine-tuned on domain-specific datasets

Leaderboard1w ago

zetasepic/Qwen2.5-32B-Instruct-abliterated-v2 — Open LLM Leaderboard #15

Avg: 46.9 | IFEval: 83.3 | BBH: 56.5 | MATH: 59.5 | GPQA: 15.7 | MMLU-PRO: 51.4

#benchmark#open-llm-leaderboard#🔶 fine-tuned on domain-specific datasets

Leaderboard1w ago

zetasepic/Qwen2.5-32B-Instruct-abliterated-v2 — Open LLM Leaderboard #15

Avg: 46.9 | IFEval: 83.3 | BBH: 56.5 | MATH: 59.5 | GPQA: 15.7 | MMLU-PRO: 51.4

#benchmark#open-llm-leaderboard#🔶 fine-tuned on domain-specific datasets

Leaderboard1w ago

zetasepic/Qwen2.5-32B-Instruct-abliterated-v2 — Open LLM Leaderboard #15

Avg: 46.9 | IFEval: 83.3 | BBH: 56.5 | MATH: 59.5 | GPQA: 15.7 | MMLU-PRO: 51.4

#benchmark#open-llm-leaderboard#🔶 fine-tuned on domain-specific datasets

Leaderboard1w ago

zetasepic/Qwen2.5-32B-Instruct-abliterated-v2 — Open LLM Leaderboard #15

Avg: 46.9 | IFEval: 83.3 | BBH: 56.5 | MATH: 59.5 | GPQA: 15.7 | MMLU-PRO: 51.4

#benchmark#open-llm-leaderboard#🔶 fine-tuned on domain-specific datasets

Leaderboard1w ago

zetasepic/Qwen2.5-32B-Instruct-abliterated-v2 — Open LLM Leaderboard #15

Avg: 46.9 | IFEval: 83.3 | BBH: 56.5 | MATH: 59.5 | GPQA: 15.7 | MMLU-PRO: 51.4

#benchmark#open-llm-leaderboard#🔶 fine-tuned on domain-specific datasets

Leaderboard2w ago

zetasepic/Qwen2.5-32B-Instruct-abliterated-v2 — Open LLM Leaderboard #15

Avg: 46.9 | IFEval: 83.3 | BBH: 56.5 | MATH: 59.5 | GPQA: 15.7 | MMLU-PRO: 51.4

#benchmark#open-llm-leaderboard#🔶 fine-tuned on domain-specific datasets

Leaderboard2w ago

zetasepic/Qwen2.5-32B-Instruct-abliterated-v2 — Open LLM Leaderboard #15

Avg: 46.9 | IFEval: 83.3 | BBH: 56.5 | MATH: 59.5 | GPQA: 15.7 | MMLU-PRO: 51.4

#benchmark#open-llm-leaderboard#🔶 fine-tuned on domain-specific datasets

Leaderboard2w ago

zetasepic/Qwen2.5-32B-Instruct-abliterated-v2 — Open LLM Leaderboard #15

Avg: 46.9 | IFEval: 83.3 | BBH: 56.5 | MATH: 59.5 | GPQA: 15.7 | MMLU-PRO: 51.4

#benchmark#open-llm-leaderboard#🔶 fine-tuned on domain-specific datasets

Leaderboard2w ago

zetasepic/Qwen2.5-32B-Instruct-abliterated-v2 — Open LLM Leaderboard #15

Avg: 46.9 | IFEval: 83.3 | BBH: 56.5 | MATH: 59.5 | GPQA: 15.7 | MMLU-PRO: 51.4

#benchmark#open-llm-leaderboard#🔶 fine-tuned on domain-specific datasets

Qwen2.5-32B-Instruct-abliterated-v2 is now available through local Ollama runtime. 32K context window listed. Qwen2.5 models are pretrained on Alibaba's latest large-scale dataset, encompassing up to 18 trillion tokens. The model supports up to 128K tokens and has multilingual support.

#deployability#ollama#zetasepic