What are the hardware requirements for Thinklite 27B?

Thinklite 27B requires approximately 55.6 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Thinklite 27B and how large is it?

Thinklite 27B is developed by Sparset, 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 Thinklite 27B?

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

Thinklite 27B by Sparset — VRAM 55.6GB

Name: Thinklite 27B
Author: Sparset

Thinklite 27B is an open-source language model by Sparset. Features: 27b LLM, VRAM: 55.6GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.3.

Arxiv:2510.15110 Base model:quantized:qwen/qwen... Base model:qwen/qwen3.8-27b Conversational Efficient-reasoning Endpoints compatible Gguf Image-text-to-text Q4 Quantized Qwen3.8 Qwen3 5 Reasoning Region:us Safetensors Sharded Tensorflow Thinklite

Model Card on HF 🤗: https://huggingface.co/Sparset/thinklite-27B

Thinklite 27B Parameters and Internals

LLM Name	Thinklite 27B
Repository 🤗	https://huggingface.co/Sparset/thinklite-27B
Base Model(s)	Qwen/Qwen3.8-27B Qwen/Qwen3.8-27B
Model Size	27b
Required VRAM	55.6 GB
Updated	2026-10-22
Maintainer	Sparset
Model Type	qwen3_5
Model Files	16.5 GB 0.9 GB 4.0 GB: 1-of-18 3.0 GB: 2-of-18 2.5 GB: 3-of-18 4.0 GB: 4-of-18 2.1 GB: 5-of-18 4.0 GB: 6-of-18 2.1 GB: 7-of-18 4.0 GB: 8-of-18 2.1 GB: 9-of-18 4.0 GB: 10-of-18 2.1 GB: 11-of-18 4.0 GB: 12-of-18 2.1 GB: 13-of-18 4.0 GB: 14-of-18 2.1 GB: 15-of-18 4.0 GB: 16-of-18 2.1 GB: 17-of-18 3.4 GB: 18-of-18
GGUF Quantization	Yes
Quantization Type	gguf\|q4\|q4_k
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	5.8.0.dev0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Thinklite 27B capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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 Thinklite 27B

Best Alternatives	Context / RAM	Downloads	Likes
...N V1.1 NM DAU NEO MAX MTP GGUF	0K / 0.9 GB	421538	328
... Opus Reasoning Distilled GGUF	0K / 0.9 GB	67921	679
Qwen3.8 27B GGUF	0K / 0.9 GB	0	685
...B Abliterated V2 PQ2 0 MTP MLX	0K / 0.8 GB	3157	7
Qwen3.8 27B OBLITERATED	0K / 83.2 GB	630	1
...N Blackwell DFlash2 Ultra V1.0	0K / 0.9 GB	3531	3
Swift Qwen3.8 27B MIX GGUF	0K / 0.9 GB	2219	2
...inkingCap Qwen3.8 27B MIX GGUF	0K / 13.4 GB	1395	7
Qwen3.8 27B Taiwan Pilled	0K / 55.6 GB	499	1
EleMo V3 Base	0K / 0.9 GB	1989	1

Note: green Score (e.g. "73.2") means that the model is better than Sparset/thinklite-27B.