What are the hardware requirements for Mimi Chatbot 0.2?

Mimi Chatbot 0.2 requires approximately 4.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Mimi Chatbot 0.2 and how large is it?

Mimi Chatbot 0.2 is developed by Xerror, 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 Mimi Chatbot 0.2?

Mimi Chatbot 0.2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mimi Chatbot 0.2 by Xerror — VRAM 4.4GB

Name: Mimi Chatbot 0.2
Author: Xerror

Mimi Chatbot 0.2 is an open-source language model by Xerror. Features: 7b LLM, VRAM: 4.4GB, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.12.

Base model:mistralai/mistral-7... Base model:quantized:mistralai... Conversational En Endpoints compatible Gguf Instruct Mistral Quantized Region:us Unsloth

Model Card on HF 🤗: https://huggingface.co/Xerror/Mimi-Chatbot-0.2

Mimi Chatbot 0.2 Parameters and Internals

Model Type

text-generation-inference, transformers, unsloth, mistral, gguf

Additional Notes

This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.

Training Details

Methodology:

Unsloth and Huggingface's TRL library

Training Time:

2x faster

LLM Name	Mimi Chatbot 0.2
Repository 🤗	https://huggingface.co/Xerror/Mimi-Chatbot-0.2
Base Model(s)	mistralai/Mistral-7B-Instruct-v0.2 mistralai/Mistral-7B-Instruct-v0.2
Model Size	7b
Required VRAM	4.4 GB
Updated	2026-07-22
Maintainer	Xerror
Model Type	mistral
Instruction-Based	Yes
Model Files	4.4 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel
License	apache-2.0

Rank the Mimi Chatbot 0.2 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 Mimi Chatbot 0.2

Best Alternatives	Context / RAM	Downloads	Likes
Pixel	8K / 4.4 GB	17	0
...ral 7B Instruct V0.2 Llamafile	0K / 14.5 GB	8850	25
Mistral 7B Instruct V0.3 GGUF	0K / 1.6 GB	91691	147
Qwen2 7B Instruct GGUF	0K / 1.9 GB	56414	10
...hemeng Qwen Math 7b 24 1 100 1	0K / 15.2 GB	25	0
Mistral 7B Instruct V0.2 GGUF	0K / 3.1 GB	70243	511
Qwen2 7B Instruct V0.6 GGUF	0K / 4.5 GB	13522	0
Qwen2 7B Instruct V0.1 GGUF	0K / 4.5 GB	9714	0
Qwen2 7B Instruct V0.7 GGUF	0K / 4.5 GB	9530	0
Qwen2 7B Instruct V0.3 GGUF	0K / 4.5 GB	8911	1

Note: green Score (e.g. "73.2") means that the model is better than Xerror/Mimi-Chatbot-0.2.