What are the hardware requirements for Ms?

Ms requires approximately 14.4 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 Ms and how large is it?

Ms is developed by c4tdr0ut, a model with 7.2b 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 Ms?

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

Ms by c4tdr0ut — VRAM 14.4GB, 32K context

Name: Ms
Author: c4tdr0ut

Ms is an open-source language model by c4tdr0ut. Features: 7.2b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.2.

Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/c4tdr0ut/ms

Ms Parameters and Internals

LLM Name	Ms
Repository 🤗	https://huggingface.co/c4tdr0ut/ms
Base Model(s)	alpindale/Mistral-7B-v0.2-hf alpindale/Mistral-7B-v0.2-hf
Model Size	7.2b
Required VRAM	14.4 GB
Updated	2025-08-13
Maintainer	c4tdr0ut
Model Type	mistral
Model Files	4.9 GB: 1-of-3 5.0 GB: 2-of-3 4.5 GB: 3-of-3 15.5 GB 0.0 GB 0.0 GB
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.55.0
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the Ms 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 Ms

Best Alternatives	Context / RAM	Downloads	Likes
...Web AI HumanAI 012 INSTRUCT XA	512K / 14.4 GB	9	0
...Web AI HumanAI 012 INSTRUCT IA	512K / 14.4 GB	8	0
...Web AI HumanAI 011 INSTRUCT ML	512K / 14.4 GB	7	0
14	512K / 14.5 GB	319	0
SpydazWeb HumanAI M2	512K / GB	38	0
...dazWeb AI HumanAI 011 INSTRUCT	512K / 14.4 GB	14	1
SpydazWeb AI HumanAI 009 CHAT	512K / 14.4 GB	6	0
SpydazWeb AI HumanAI 007	512K / 14.4 GB	5	0
...Web AI HumanAI 012 INSTRUCT MX	512K / 14.4 GB	8	0
SpydazWebAI Human AGI 001	512K / 14.4 GB	6	1

Note: green Score (e.g. "73.2") means that the model is better than c4tdr0ut/ms.