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Qwen3.6 27B Esper3.1 by ValiantLabs

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Qwen3.6 27B Esper3.1 is an open-source language model by ValiantLabs. Features: 27b LLM, VRAM: 55.6GB, Context: 256K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.3.

  27b   Analytical   Ansible   Architect   Aws   Azure Base model:finetune:qwen/qwen3...   Base model:qwen/qwen3.6-27b   Bash   C   C#   C++   Chat   Cloud   Code   Code-instruct   Conversational   Creative Dataset:sequelbox/mitakihara-d... Dataset:sequelbox/tachibana3-p... Dataset:sequelbox/tachibana3-p... Dataset:sequelbox/titanium3-de...   Dev-ops   Developer   Docker   En   Endpoints compatible   Engineer   Esper   Esper-3   Esper-3.1   Expert   Gcp   Go   Grafana   Haskell   Helm   Image-text-to-text   Instruct   Java   Javascript   Jenkins   Kubernetes   Powershell   Problem-solving   Prometheus   Python   Qwen   Qwen-3.6   Qwen-3.6-27b   Qwen3 5 text   Rationality   Reasoning   Region:us   Rust   Safetensors   Scripting   Sharded   Shell   Tensorflow   Terraform   Typescript   Valiant   Valiant-labs
Model Card on HF 🤗: https://huggingface.co/ValiantLabs/Qwen3.6-27B-Esper3.1 

Qwen3.6 27B Esper3.1 Benchmarks

LLME Score: 0.29832
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3.6 27B Esper3.1 (ValiantLabs/Qwen3.6-27B-Esper3.1)
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Qwen3.6 27B Esper3.1 Parameters and Internals

LLM NameQwen3.6 27B Esper3.1
Repository 🤗https://huggingface.co/ValiantLabs/Qwen3.6-27B-Esper3.1 
Base Model(s)  Qwen/Qwen3.6-27B   Qwen/Qwen3.6-27B
Model Size27b
Required VRAM55.6 GB
Updated2026-05-01
MaintainerValiantLabs
Model Typeqwen3_5_text
Instruction-BasedYes
Model Files  2.5 GB: 1-of-14   4.2 GB: 2-of-14   4.2 GB: 3-of-14   4.2 GB: 4-of-14   4.2 GB: 5-of-14   4.2 GB: 6-of-14   4.2 GB: 7-of-14   4.2 GB: 8-of-14   4.2 GB: 9-of-14   4.2 GB: 10-of-14   4.2 GB: 11-of-14   4.2 GB: 12-of-14   4.2 GB: 13-of-14   2.7 GB: 14-of-14
Supported Languagesen
Model ArchitectureQwen3_5ForCausalLM
Licenseapache-2.0
Context Length262144
Model Max Length262144
Transformers Version5.5.3
Tokenizer ClassTokenizersBackend
Padding Token<|endoftext|>
Vocabulary Size248320
Errorsreplace

Rank the Qwen3.6 27B Esper3.1 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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