Private AI

Nano GPT logo
NanoGPT
Nano GPT logo
NanoGPT
Nano GPT logo
NanoGPT
Search
 
 
 
 
All conversations

Create

Chat
Studio

Explore

Models
Pricing
AI Apps
Blog

Library

Gallery
Workspace
Usage & billing
API
Suggestions and bugs
Use cases

|

Terms

|

Privacy

|

Refunds
Usage & billing
Teams
Referrals
Presets
Settings
FAQPress & mediaBrand assetsBenchmarksNano RPCEarn crypto
  1. Models
  2. Text
  3. Huihui Ai

Qwen 2.5 32B Abliterated

Uncensored version of Qwen 2.5 32B Instruct with restrictions removed.

Added Jan 6, 2025

Pricing

Auto routing · per 1M tokens
Input
$0.70
Output
$0.70
Cache read
$0.35
Compare provider prices

Specifications

Context window
32.8K
Max output
8.2K
Parameters
32B

Benchmarks

Leaderboard results

BenchmarkScoreRank on NanoGPT
UGI Leaderboard

UGI Leaderboard data, Apache-2.0 · Updated Oct 16, 2026

UGI Score

36.0

#85 of 149

UGI Willingness

6.8

#14 of 149

UGI Writing

29.9

#125 of 149

Filtered and ranked to models on NanoGPT.

Providers

Choose or restrict providers with the API. Provider-selection prices include the selection markup. Provider selection guide · Pricing API (JSON, USD per 1K tokens)

Auto
Auto
Recommended
$0.70$0.70$0.35N/AN/A
Kitani
Kitani
INT4
GLB
$0.714$0.714$0.357N/AN/A
Privacy:Retains prompts, training unclear
Batch API
ProviderInputOutputCached input
Auto
Autohuihui-ai/Qwen2.5-32B-Instruct-abliterated
$0.70/M$0.70/M$0.35/M

Batch rows for this model use normal routing and cost the same as standard API requests. Set provider in a row to choose a provider.

Related text models

Compare Qwen 2.5 32B Abliterated with similar models from the same provider or model family.

Qwen 2.5 Coder 32b

qwen/qwen2.5-coder-32b-instruct

The latest series of Code-Specific Qwen large language models.

Qwen2.5 72B

qwen/qwen-2.5-72b-instruct

Great multilingual support, strong at mathematics and coding, supports roleplay and chatbots.

Qwen3 Next 80B A3B (Instruct)

qwen/qwen3-next-80b-a3b-instruct

Based on the new Qwen3‑Next architecture (hybrid attention, highly sparse MoE, training‑stability optimizations, and multi‑token prediction), the Qwen3‑Next‑80B‑A3B‑Instruct model delivers extreme efficiency with only 3B active parameters per pass. It performs comparably to Qwen3‑235B‑A22B‑Instruct‑2507 and shows clear advantages on ultra‑long context tasks (up to 256K tokens).

Qwen2 72B Dracarys

abacusai/Dracarys-72B-Instruct

A Qwen2 72B Instruct finetune by Abacus.AI focused on improving coding performance.

Qwen 3 235b A22B 2507

qwen/qwen3-235b-a22b-instruct-2507

Qwen 3 235b A22B Instruct 2507 the updated version of Qwen3 235B A22B, with significant improvements in performance. This model is non-thinking.

Qwen 3 32b

qwen/qwen3-32b

Qwen 3 32b is a 32b model. Supports switching between thinking and non thinking: trigger thinking with /think and /no_think anywhere in a prompt or system message to toggle chain-of-thought reasoning.