LLM EXPLORER 59,516 MODELS INDEXED

Qwen3.8 27B SwissNeuron Derisked by SwissNeuron

By SwissNeuron · 721 downloads
HF Repo ↗ Copy URL

Qwen3.8 27B SwissNeuron Derisked is an open-source language model by SwissNeuron. Features: 27b LLM, VRAM: 54.7GB, License: other, LLM Explorer Score: 0.33.

  1m-context Base model:finetune:qwen/qwen3...   Base model:qwen/qwen3.8-27b   Bfloat16   Conversational   Endpoints compatible   Image-text-to-text   Long-context   Multimodal   Qwen3.8   Qwen3 5   Reasoning   Region:us   Safetensors   Sharded   Swissneuron   Tensorflow   Vision   Yarn
Model Card on HF 🤗: https://huggingface.co/SwissNeuron/Qwen3.8-27B-SwissNeuron-Derisked 

Qwen3.8 27B SwissNeuron Derisked Parameters and Internals

LLM NameQwen3.8 27B SwissNeuron Derisked
Repository 🤗https://huggingface.co/SwissNeuron/Qwen3.8-27B-SwissNeuron-Derisked 
Model NameQwen3.8-27B-SwissNeuron-Derisked
Base Model(s)  Qwen/Qwen3.8-27B   Qwen/Qwen3.8-27B
Model Size27b
Required VRAM54.7 GB
Updated2026-08-25
MaintainerSwissNeuron
Model Typeqwen3_5
Model Files  0.0 GB   2.5 GB: 1-of-12   4.8 GB: 2-of-12   5.0 GB: 3-of-12   4.9 GB: 4-of-12   5.0 GB: 5-of-12   4.9 GB: 6-of-12   4.9 GB: 7-of-12   5.0 GB: 8-of-12   5.0 GB: 9-of-12   4.9 GB: 10-of-12   5.0 GB: 11-of-12   2.8 GB: 12-of-12   0.8 GB
Model ArchitectureQwen3_5ForConditionalGeneration
Licenseother
Model Max Length262144
Transformers Version5.12.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than SwissNeuron/Qwen3.8-27B-SwissNeuron-Derisked.