What are the hardware requirements for Mai Replier 9B V3?

Mai Replier 9B V3 requires approximately 18.8 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Mai Replier 9B V3 and how large is it?

Mai Replier 9B V3 is developed by tcmofashi, a model with 9b 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 Mai Replier 9B V3?

Mai Replier 9B V3 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mai Replier 9B V3 by tcmofashi — VRAM 18.8GB

Name: Mai Replier 9B V3
Author: tcmofashi

Mai Replier 9B V3 is an open-source language model by tcmofashi. Features: 9b LLM, VRAM: 18.8GB, License: apache-2.0, LLM Explorer Score: 0.35.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3.5-9b Chatbot Chinese Conversational Endpoints compatible Image-text-to-text Interleaved-image Multimodal Qq-group-chat Qwen3 5 Region:us Retro-replyer Roleplay Safetensors Zh

Model Card on HF 🤗: https://huggingface.co/tcmofashi/mai_replier-9b-v3

Mai Replier 9B V3 Parameters and Internals

LLM Name	Mai Replier 9B V3
Repository 🤗	https://huggingface.co/tcmofashi/mai_replier-9b-v3
Base Model(s)	Qwen/Qwen3.5-9B Qwen/Qwen3.5-9B
Model Size	9b
Required VRAM	18.8 GB
Updated	2026-11-10
Maintainer	tcmofashi
Model Type	qwen3_5
Model Files	18.8 GB
Supported Languages	zh
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	5.15.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Mai Replier 9B V3 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 Mai Replier 9B V3

Best Alternatives	Context / RAM	Downloads	Likes
HYZ 01 9B	256K / 18.8 GB	102	1
Clef Flash	0K / 18.8 GB	36817	853
Qwen3.5 9B	0K / 19.3 GB	12207758	1799
Ornith 1.0 9B	0K / 18.8 GB	812959	568
Qwable 9B Claude Fable 5	0K / 18.8 GB	1088	115
MiMo V2.6 Distill Qwen 9B	0K / 18.8 GB	5705	429
Qwythos 9B Claude Mythos 5 1M	0K / 18.8 GB	37427	906
LensVLM 9B	0K / 18.8 GB	1840	258
Flux 3 Image Klein Pup	0K / 18.8 GB	6948	54
Negentropy Claude Opus 4.7 9B	0K / 18.8 GB	63	26

Note: green Score (e.g. "73.2") means that the model is better than tcmofashi/mai_replier-9b-v3.