What are the hardware requirements for ThinkingCap 3.8 27B PARO5?

ThinkingCap 3.8 27B PARO5 requires approximately 3.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed ThinkingCap 3.8 27B PARO5 and how large is it?

ThinkingCap 3.8 27B PARO5 is developed by tcclaviger, 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 3.8 27B PARO5?

ThinkingCap 3.8 27B PARO5 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

ThinkingCap 3.8 27B PARO5 by tcclaviger — VRAM 3.4GB

Name: ThinkingCap 3.8 27B PARO5
Author: tcclaviger

ThinkingCap 3.8 27B PARO5 is an open-source language model by tcclaviger. Features: 27b LLM, VRAM: 3.4GB, License: other, LLM Explorer Score: 0.31.

Arxiv:2511.10645 Amd Base model:bottlecapai/thinkin... Base model:quantized:bottlecap... Conversational Endpoints compatible Fp8 Image-text-to-text Int5 Paroquant Qwen3 5 R9700 Rdna4 Region:us Rfi Safetensors

Model Card on HF 🤗: https://huggingface.co/tcclaviger/ThinkingCap-3.8-27B-PARO5

ThinkingCap 3.8 27B PARO5 Parameters and Internals

LLM Name	ThinkingCap 3.8 27B PARO5
Repository 🤗	https://huggingface.co/tcclaviger/ThinkingCap-3.8-27B-PARO5
Base Model(s)	bottlecapai/ThinkingCap-Qwen3.8-27B bottlecapai/ThinkingCap-Qwen3.8-27B
Model Size	27b
Required VRAM	3.4 GB
Updated	2026-09-28
Maintainer	tcclaviger
Model Type	qwen3_5
Model Files	5.4 GB 5.5 GB 5.4 GB 5.4 GB 3.4 GB 0.0 GB
Model Architecture	Qwen3_5ForConditionalGeneration
License	other
Model Max Length	262144
Transformers Version	5.8.0.dev0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the ThinkingCap 3.8 27B PARO5 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 3.8 27B PARO5

Best Alternatives	Context / RAM	Downloads	Likes
...wopus3.8 27B Flash Mlx OQ4e 1M	1024K / 16.9 GB	211	1
Agens Pilot	1024K / 54.7 GB	174	2
Qwen3.6 27B	0K / 55.4 GB	6728138	2197
Qwen3.8 27B	0K / 55.6 GB	2	8753
Qwen3.8 27B	0K / 55.6 GB	2727	21
Qwen3.8 27B FP8	0K / 0.4 GB	123157	416
Qwen3.8 27B MLX	0K / 16 GB	1411	18
Qwen3.6 27B NVFP4	0K / 22 GB	1887525	419
Qwen3.5 27B	0K / 55.2 GB	2536294	1028
Qwen3.6 27B FP8	0K / 0.4 GB	7740472	342

Note: green Score (e.g. "73.2") means that the model is better than tcclaviger/ThinkingCap-3.8-27B-PARO5.