What are the hardware requirements for Ms7?

Ms7 requires approximately 14.5 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 Ms7 and how large is it?

Ms7 is developed by tjcrims0n, 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 Ms7?

Ms7 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Ms7 by tjcrims0n — VRAM 14.5GB, 32K context

Name: Ms7
Author: tjcrims0n

Ms7 is an open-source language model by tjcrims0n. Features: 7b LLM, VRAM: 14.5GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.24.

Annihilate-llm Base model:finetune:mistralai/... Base model:mistralai/mistral-7... Conversational Custom Endpoints compatible Instruct Mistral Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/tjcrims0n/ms7

Ms7 Parameters and Internals

LLM Name	Ms7
Repository 🤗	https://huggingface.co/tjcrims0n/ms7
Base Model(s)	mistralai/Mistral-7B-Instruct-v0.3 mistralai/Mistral-7B-Instruct-v0.3
Model Size	7b
Required VRAM	14.5 GB
Updated	2026-07-18
Maintainer	tjcrims0n
Model Type	mistral
Instruction-Based	Yes
Model Files	14.5 GB
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	5.13.0.dev0
Tokenizer Class	TokenizersBackend
Vocabulary Size	32768

Rank the Ms7 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 Ms7

Best Alternatives	Context / RAM	Downloads	Likes
...Nemo Instruct 2407 Abliterated	1000K / 24.5 GB	220	20
SpydazWeb AI HumanAI RP	512K / 14.4 GB	16	1
SpydazWeb AI HumanAI 002	512K / 14.4 GB	18	1
...daz Web AI ChatML 512K Project	512K / 14.5 GB	12	0
... Summarize 64K QLoRANET Merged	128K / 4.1 GB	14	0
...1 Summarize 64K LoRANET Merged	128K / 14.4 GB	19	0
Mistral 7B Instruct V0.2	32K / 14.4 GB	1115337	3184
Mistral 7B Instruct V0.1	32K / 14.4 GB	253629	1846
Mistral 7B Instruct V0.2	32K / 14.4 GB	1338	0
Mixtral AI CyberCoder	32K / 14.3 GB	0	0

Note: green Score (e.g. "73.2") means that the model is better than tjcrims0n/ms7.