What are the hardware requirements for ThinkingCap Qwen3.8 27B MIX GGUF?

ThinkingCap Qwen3.8 27B MIX GGUF requires approximately 13.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed ThinkingCap Qwen3.8 27B MIX GGUF and how large is it?

ThinkingCap Qwen3.8 27B MIX GGUF is developed by vmarcelo, 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 ThinkingCap Qwen3.8 27B MIX GGUF?

ThinkingCap Qwen3.8 27B MIX GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

ThinkingCap Qwen3.8 27B MIX GGUF by vmarcelo — VRAM 13.4GB

Name: ThinkingCap Qwen3.8 27B MIX GGUF
Author: vmarcelo

ThinkingCap Qwen3.8 27B MIX GGUF is an open-source language model by vmarcelo. Features: 27b LLM, VRAM: 13.4GB, License: other, Quantized, LLM Explorer Score: 0.3.

Base model:bottlecapai/thinkin... Base model:quantized:bottlecap... Conversational Endpoints compatible Gguf Image-text-to-text Imatrix Iq4 xs Mtp Multilingual Multimodal Quantized Qwen3.8 Qwen3 5 Region:us Speculative-decoding Vision Vulkan

Model Card on HF 🤗: https://huggingface.co/vmarcelo/ThinkingCap-Qwen3.8-27B-MIX_GGUF

ThinkingCap Qwen3.8 27B MIX GGUF Parameters and Internals

LLM Name	ThinkingCap Qwen3.8 27B MIX GGUF
Repository 🤗	https://huggingface.co/vmarcelo/ThinkingCap-Qwen3.8-27B-MIX_GGUF
Base Model(s)	bottlecapai/ThinkingCap-Qwen3.8-27B bottlecapai/ThinkingCap-Qwen3.8-27B
Model Size	27b
Required VRAM	13.4 GB
Updated	2026-09-26
Maintainer	vmarcelo
Model Type	qwen3_5
Model Files	13.4 GB 0.0 GB
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	Qwen3_5ForConditionalGeneration
License	other
Transformers Version	5.8.0.dev0

Rank the ThinkingCap Qwen3.8 27B MIX GGUF 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 ThinkingCap Qwen3.8 27B MIX GGUF

Best Alternatives	Context / RAM	Downloads	Likes
...N V1.1 NM DAU NEO MAX MTP GGUF	0K / 0.9 GB	421538	328
Qwen3.8	0K / 0.9 GB	54	1
... Opus Reasoning Distilled GGUF	0K / 0.9 GB	67921	679
Qwen3.8 27B GGUF	0K / 0.9 GB	0	685
Qwen3.8 27B OBLITERATED	0K / 83.2 GB	2472	2
...B Abliterated V2 PQ2 0 MTP MLX	0K / 0.8 GB	1971	7
...N Blackwell DFlash2 Ultra V1.0	0K / 0.9 GB	3531	3
Swift Qwen3.8 27B MIX GGUF	0K / 0.9 GB	2219	2
Qwen3.8 27B Growpath	0K / 54.7 GB	351	0
...easoning Instruct MTP MLX 4bit	0K / 16.6 GB	366	2

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