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

Qwen3.6 Solidity 27B requires approximately 53.8 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 Solidity 27B and how large is it?

Qwen3.6 Solidity 27B is developed by samscrack, 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 Solidity 27B?

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

Qwen3.6 Solidity 27B by samscrack — VRAM 53.8GB, 256K context

Name: Qwen3.6 Solidity 27B
Author: samscrack

Qwen3.6 Solidity 27B is an open-source language model by samscrack. Features: 27b LLM, VRAM: 53.8GB, Context: 256K, License: apache-2.0, LLM Explorer Score: 0.24.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3.6-27b Blockchain Code-generation Conversational Dataset:assert-kth/disl Dataset:braindao/solidity-base... Dataset:samscrack/solidity-aud... En Endpoints compatible Ethereum Foundry Qwen Qwen3 5 text Region:us Rejection-fine-tuning Safetensors Security-audit Sharded Smart-contracts Solidity Tensorflow

Model Card on HF 🤗: https://huggingface.co/samscrack/Qwen3.6-Solidity-27B

Qwen3.6 Solidity 27B Parameters and Internals

LLM Name	Qwen3.6 Solidity 27B
Repository 🤗	https://huggingface.co/samscrack/Qwen3.6-Solidity-27B
Base Model(s)	Qwen/Qwen3.6-27B Qwen/Qwen3.6-27B
Model Size	27b
Required VRAM	53.8 GB
Updated	2026-08-04
Maintainer	samscrack
Model Type	qwen3_5_text
Model Files	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 1.9 GB: 12-of-12
Supported Languages	en
Model Architecture	Qwen3_5ForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	5.2.0
Tokenizer Class	TokenizersBackend
Padding Token	<\|vision_pad\|>
Vocabulary Size	248320
Errors	replace

Rank the Qwen3.6 Solidity 27B 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 Solidity 27B

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.6 27B OBLITERATED	256K / 53.6 GB	15137	184
Qwen3.8 27B Obliterated E03	256K / 53.6 GB	708	1
Sharona Q27B R CodeSecurity V2	256K / 53.8 GB	574	1
Barcenas Qwen3.8 27B Fable	256K / 54.1 GB	869	5
...maAQUA Gridbook 13GB 5080 Vllm	256K / 13 GB	731	4
...wen3.8 P44w75 16.8B Unrepaired	256K / 2.4 GB	929	1
...2 Abliterated OptiQ 3.7bpw Mlx	256K / 13.4 GB	6727	14
...n3.8 27B PrismaScout AQUA 20GB	256K / 20.2 GB	266	3
Qwen3.8 27B Abliteratex	256K / 53.9 GB	321	6
...2 Abliterated OptiQ 3.7bpw Mlx	256K / 13.4 GB	5919	14

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