What are the hardware requirements for Qwft?

Qwft requires approximately 30.5 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwft and how large is it?

Qwft is developed by sumink, a model with 7b 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 Qwft?

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

Qwft by sumink — VRAM 30.5GB, 128K context

Name: Qwft
Author: sumink

Qwft is an open-source language model by sumink. Features: 7b LLM, VRAM: 30.5GB, Context: 128K, License: other, LLM Explorer Score: 0.17.

Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/sumink/qwft

Qwft Parameters and Internals

LLM Name	Qwft
Repository 🤗	https://huggingface.co/sumink/qwft
Model Size	7b
Required VRAM	30.5 GB
Updated	2026-07-24
Maintainer	sumink
Model Type	qwen2
Model Files	5.0 GB: 1-of-7 4.8 GB: 2-of-7 4.9 GB: 3-of-7 4.9 GB: 4-of-7 5.0 GB: 5-of-7 3.7 GB: 6-of-7 2.2 GB: 7-of-7
Model Architecture	Qwen2ForCausalLM
License	other
Context Length	131072
Model Max Length	131072
Transformers Version	4.47.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	float32
Errors	replace

Rank the Qwft 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 Qwft

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 7B Preview	986K / 15.2 GB	10	0
Qwen2.5 7B Instruct 1M	986K / 15.4 GB	52534	373
Hush Qwen2.5 7B V1.2	986K / 15.2 GB	4	1
Hush Qwen2.5 7B V1.1	986K / 15.2 GB	5	1
Hush Qwen2.5 7B V1.4	986K / 15.2 GB	8	1
Hush Qwen2.5 7B Preview	986K / 15.2 GB	5	0
Hush Qwen2.5 7B V1.3	986K / 15.2 GB	10	2
Hush Qwen2.5 7B RP V1.4 1M	986K / 15.2 GB	10	2
Qwen 2.5 7B Exp Sce	986K / 15.2 GB	10	2
Qwen2.5 7B MixStock V0.1	986K / 15.2 GB	6	3

Note: green Score (e.g. "73.2") means that the model is better than sumink/qwft.