What are the hardware requirements for Meno Lite 0.1?

Meno Lite 0.1 requires approximately 15.1 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 Meno Lite 0.1 and how large is it?

Meno Lite 0.1 is developed by bond005, 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 Meno Lite 0.1?

Meno Lite 0.1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Meno Lite 0.1 by bond005 — VRAM 15.1GB, 32K context

Name: Meno Lite 0.1
Author: bond005

Meno Lite 0.1 is an open-source language model by bond005. Features: 7b LLM, VRAM: 15.1GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.22.

Arxiv:2605.04523 Base model:finetune:refalmachi... Base model:refalmachine/ruadap... Conversational Document-qa En Endpoints compatible Information-extraction Instruct Long-context Ner Qwen2 Rag Region:us Ru Safetensors Sharded Summarization Tensorflow

Model Card on HF 🤗: https://huggingface.co/bond005/meno-lite-0.1

Meno Lite 0.1 Parameters and Internals

LLM Name	Meno Lite 0.1
Repository 🤗	https://huggingface.co/bond005/meno-lite-0.1
Base Model(s)	RefalMachine/RuadaptQwen2.5-7B-Lite-Beta RefalMachine/RuadaptQwen2.5-7B-Lite-Beta
Model Size	7b
Required VRAM	15.1 GB
Updated	2026-07-26
Maintainer	bond005
Model Type	qwen2
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 4.1 GB: 3-of-4 1.0 GB: 4-of-4
Supported Languages	en ru
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.57.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	145152
Errors	replace

Rank the Meno Lite 0.1 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 Meno Lite 0.1

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
Rewnozom	986K / 30.5 GB	742	1
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

Note: green Score (e.g. "73.2") means that the model is better than bond005/meno-lite-0.1.