What are the hardware requirements for Moxin 7B Chat?

Moxin 7B Chat requires approximately 0.9 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 Moxin 7B Chat and how large is it?

Moxin 7B Chat is developed by moxin-org, 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 Moxin 7B Chat?

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

Moxin 7B Chat by moxin-org — VRAM 0.9GB, 32K context

Name: Moxin 7B Chat
Author: moxin-org

Moxin 7B Chat is an open-source language model by moxin-org. Features: 7b LLM, VRAM: 0.9GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.16.

Arxiv:2412.06845 Conversational Endpoints compatible Gguf Mistral Pytorch Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/moxin-org/Moxin-7B-Chat

Moxin 7B Chat Parameters and Internals

LLM Name	Moxin 7B Chat
Repository 🤗	https://huggingface.co/moxin-org/Moxin-7B-Chat
Model Size	7b
Required VRAM	0.9 GB
Updated	2026-07-31
Maintainer	moxin-org
Model Type	mistral
Model Files	16.2 GB 1.0 GB 1.0 GB 1.0 GB 1.0 GB 1.0 GB 1.0 GB 1.0 GB 1.0 GB 1.0 GB 1.0 GB 1.0 GB 1.0 GB 1.0 GB 1.0 GB 1.0 GB 1.0 GB 1.0 GB 1.0 GB 1.0 GB 1.0 GB 1.0 GB 1.0 GB 1.0 GB 1.0 GB 1.0 GB 1.0 GB 1.0 GB 1.0 GB 1.0 GB 1.0 GB 0.9 GB 0.9 GB
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.34.0
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	float16

Rank the Moxin 7B Chat capabilities

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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

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Note: green Score (e.g. "73.2") means that the model is better than moxin-org/Moxin-7B-Chat.