What are the hardware requirements for Follex 7B?

Follex 7B requires approximately 15.2 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Follex 7B and how large is it?

Follex 7B is developed by ClaudioItaly, 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 Follex 7B?

Follex 7B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Follex 7B by ClaudioItaly — VRAM 15.2GB, 32K context

Name: Follex 7B
Author: ClaudioItaly

Follex 7B is an open-source language model by ClaudioItaly. Features: 7b LLM, VRAM: 15.2GB, Context: 32K, Merged, LLM Explorer Score: 0.16.

Merged Model Base model:ath-maas/marco-o1 Base model:bunnycore/fuseqwqen... Base model:happzy2633/qwen2.5-... Base model:prithivmlmods/qwq-l... Conversational Endpoints compatible Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/ClaudioItaly/Follex-7B

Follex 7B Parameters and Internals

LLM Name	Follex 7B
Repository 🤗	https://huggingface.co/ClaudioItaly/Follex-7B
Base Model(s)	Marco O1 QwQ LCoT 7B Instruct FuseQwQen 7B happzy2633/qwen2.5-7b-ins-v3 AIDC-AI/Marco-o1 prithivMLmods/QwQ-LCoT-7B-Instruct bunnycore/FuseQwQen-7B happzy2633/qwen2.5-7b-ins-v3
Merged Model	Yes
Model Size	7b
Required VRAM	15.2 GB
Updated	2026-08-25
Maintainer	ClaudioItaly
Model Type	qwen2
Model Files	5.0 GB: 1-of-4 4.9 GB: 2-of-4 5.0 GB: 3-of-4 0.3 GB: 4-of-4
Model Architecture	Qwen2ForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.46.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151665
Torch Data Type	bfloat16
Errors	replace

Rank the Follex 7B 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 Follex 7B

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 ClaudioItaly/Follex-7B.