Qwopus3.5 27B V3 PolarQuant V7 GPTQ is an open-source language model by caiovicentino1. Features: 27b LLM, VRAM: 19.2GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.35.
Arxiv:2603.29078 4-bit Base model:jackrong/qwopus3.5-... Base model:quantized:jackrong/... Conversational Gptq Int4 Marlin Model-index Polarquant Quantized Qwen3 5 Region:us Safetensors Sharded Tensorflow Vllm
Model Card on HF 🤗: https://huggingface.co/caiovicentino1/Qwopus3.5-27B-v3-PolarQuant-v7-GPTQ
Qwopus3.5 27B V3 PolarQuant V7 GPTQ Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Qwopus3.5 27B V3 PolarQuant V7 GPTQ Parameters and Internals
| LLM Name | Qwopus3.5 27B V3 PolarQuant V7 GPTQ |
| Repository 🤗 | https://huggingface.co/caiovicentino1/Qwopus3.5-27B-v3-PolarQuant-v7-GPTQ |
| Model Name | unsloth/Qwen3.5-27B |
| Base Model(s) | |
| Model Size | 27b |
| Required VRAM | 19.2 GB |
| Updated | 2026-04-09 |
| Maintainer | caiovicentino1 |
| Model Type | qwen3_5 |
| Model Files | |
| GPTQ Quantization | Yes |
| Quantization Type | gptq |
| Model Architecture | Qwen3_5ForConditionalGeneration |
| License | apache-2.0 |
| Model Max Length | 262144 |
| Transformers Version | 5.5.0 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|vision_pad|> |
| Errors | replace |
Best Alternatives to Qwopus3.5 27B V3 PolarQuant V7 GPTQ
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| MLX Qwopus3.5 27B V3 6bit | 0K / 21.8 GB | 901 | 2 |
| ... Opus Reasoning Distilled 4bit | 0K / 15.1 GB | 4073 | 6 |
| Qwen3.5 27B 4bit DWQ | 0K / 15.2 GB | 553 | 5 |
| ...e 4.6 Opus Reasoning Distilled | 0K / 55.2 GB | 253259 | 1532 |
| Qwen3.5 27B | 0K / 54.7 GB | 39083 | 13 |
| ....6 Opus Reasoning Distilled V2 | 0K / 55.2 GB | 10667 | 83 |
| Qwopus3.5 27B V3 | 0K / 54.7 GB | 13 | 49 |
| Qwen3.5 27B Anko | 0K / 54.7 GB | 13 | 4 |
| ...e 4.6 Opus Reasoning Distilled | 0K / 55.2 GB | 63 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than caiovicentino1/Qwopus3.5-27B-v3-PolarQuant-v7-GPTQ .
Rank the Qwopus3.5 27B V3 PolarQuant V7 GPTQ Capabilities
🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟
What open-source LLMs or SLMs are you in search of? 52687 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Check out Ag3ntum — our secure, self-hosted AI agent for server management.
Release v20260328a