What are the hardware requirements for Qwen3.6 27B Tachibana Agent?

Qwen3.6 27B Tachibana Agent requires approximately 55.6 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.6 27B Tachibana Agent and how large is it?

Qwen3.6 27B Tachibana Agent is developed by sequelbox, a model with 27b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Qwen3.6 27B Tachibana Agent?

Qwen3.6 27B Tachibana Agent is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.6 27B Tachibana Agent by sequelbox — VRAM 55.6GB, 256K context

Name: Qwen3.6 27B Tachibana Agent
Author: sequelbox

Qwen3.6 27B Tachibana Agent is an open-source language model by sequelbox. Features: 27b LLM, VRAM: 55.6GB, Context: 256K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.24.

27b Analytical 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/tachibana4-d... Developer En Endpoints compatible Engineer Expert Gcp Go Haskell Image-text-to-text Instruct Java Javascript Powershell Problem-solving Python Qwen Qwen-3.6 Qwen-3.6-27b Qwen3 5 text Rationality Reasoning Region:us Rust Safetensors Scripting Sharded Shell Tachibana Tensorflow Typescript Valiant Valiant-labs

Model Card on HF 🤗: https://huggingface.co/sequelbox/Qwen3.6-27B-Tachibana-Agent

Qwen3.6 27B Tachibana Agent Parameters and Internals

LLM Name	Qwen3.6 27B Tachibana Agent
Repository 🤗	https://huggingface.co/sequelbox/Qwen3.6-27B-Tachibana-Agent
Base Model(s)	Qwen/Qwen3.6-27B Qwen/Qwen3.6-27B
Model Size	27b
Required VRAM	55.6 GB
Updated	2026-08-09
Maintainer	sequelbox
Model Type	qwen3_5_text
Instruction-Based	Yes
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 Languages	en
Model Architecture	Qwen3_5ForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	5.8.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	248320
Errors	replace

Rank the Qwen3.6 27B Tachibana Agent 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

Best Alternatives to Qwen3.6 27B Tachibana Agent

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.6 27B Esper4	256K / 55.6 GB	292	19
Qwen3.6 27B Esper3.1	256K / 55.6 GB	4	9

Note: green Score (e.g. "73.2") means that the model is better than sequelbox/Qwen3.6-27B-Tachibana-Agent.