What are the hardware requirements for Test001?

Test001 requires approximately 14.5 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Test001 and how large is it?

Test001 is developed by MrRobotoAI, 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 Test001?

Test001 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Test001 by MrRobotoAI — VRAM 14.5GB, 128K context

Name: Test001
Author: MrRobotoAI

Test001 is an open-source language model by MrRobotoAI. Features: 7b LLM, VRAM: 14.5GB, Context: 128K, Merged, LLM Explorer Score: 0.14.

Merged Model Arxiv:2306.01708 Arxiv:2311.03099 Autotrain compatible Base model:callcomply/zephyr-7... Base model:nitral-archive/herc... Base model:nousresearch/yarn-m... Conversational Endpoints compatible Mistral Region:us Safetensors Sharded Tensorflow Yarn

Model Card on HF 🤗: https://huggingface.co/MrRobotoAI/test001

Test001 Parameters and Internals

Additional Notes

This model is a merge of pre-trained language models using mergekit.

Training Details

Methodology:

DARE TIES merge method

LLM Name	Test001
Repository 🤗	https://huggingface.co/MrRobotoAI/test001
Base Model(s)	Yarn Mistral 7B 128K Zephyr 7B Beta 128K HerculeanSea 7B 128K NousResearch/Yarn-Mistral-7b-128k CallComply/zephyr-7b-beta-128k Nitral-Archive/HerculeanSea-7b-128k
Merged Model	Yes
Model Size	7b
Required VRAM	14.5 GB
Updated	2024-11-11
Maintainer	MrRobotoAI
Model Type	mistral
Model Files	4.9 GB: 1-of-3 4.9 GB: 2-of-3 4.7 GB: 3-of-3
Model Architecture	MistralForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.42.4
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32000
Torch Data Type	float16

Rank the Test001 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 Test001

Best Alternatives	Context / RAM	Downloads	Likes
...Nemo Instruct 2407 Abliterated	1000K / 24.5 GB	220	20
MegaBeam Mistral 7B 512K	512K / 14.4 GB	8470	54
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
MegaBeam Mistral 7B 300K	282K / 14.4 GB	3779	16
MegaBeam Mistral 7B 300K	282K / 14.4 GB	8018	17
Hebrew Mistral 7B 200K	256K / 30 GB	23	15
Astral 256K 7B	250K / 14.4 GB	9	0
Astral 256K 7B V2	250K / 14.4 GB	8	0

Note: green Score (e.g. "73.2") means that the model is better than MrRobotoAI/test001.