What are the hardware requirements for Multi Verse Model 10.7B?

Multi Verse Model 10.7B requires approximately 21.5 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 Multi Verse Model 10.7B and how large is it?

Multi Verse Model 10.7B is developed by Joseph717171, a model with 10.7b 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 Multi Verse Model 10.7B?

Multi Verse Model 10.7B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Multi Verse Model 10.7B by Joseph717171 — VRAM 21.5GB, 32K context

Name: Multi Verse Model 10.7B
Author: Joseph717171

Multi Verse Model 10.7B is an open-source language model by Joseph717171. Features: 10.7b LLM, VRAM: 21.5GB, Context: 32K, License: apache-2.0, Merged, LLM Explorer Score: 0.12.

Merged Model Arxiv:2312.15166 Conversational Endpoints compatible Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Joseph717171/multi_verse_model-10.7B

Multi Verse Model 10.7B Parameters and Internals

Model Type

language model

LLM Name	Multi Verse Model 10.7B
Repository 🤗	https://huggingface.co/Joseph717171/multi_verse_model-10.7B
Merged Model	Yes
Model Size	10.7b
Required VRAM	21.5 GB
Updated	2026-07-31
Maintainer	Joseph717171
Model Type	mistral
Model Files	3.9 GB: 1-of-6 4.0 GB: 2-of-6 4.0 GB: 3-of-6 4.0 GB: 4-of-6 4.0 GB: 5-of-6 1.6 GB: 6-of-6
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.39.0.dev0
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the Multi Verse Model 10.7B 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

Best Alternatives to Multi Verse Model 10.7B

Best Alternatives	Context / RAM	Downloads	Likes
Barely Regal 10.7B	32K / 21.5 GB	19	0
Quintellect 10.7B	32K / 21.4 GB	22	3
Chikuma 10.7B	32K / 21.4 GB	131	5
PiVoT 10.7B Mistral V0.2	32K / 21.4 GB	76	5
Longcat 10.7B	32K / 21.5 GB	8	3
PrimaSumika 10.7B 128K	32K / 21.5 GB	3	1
... Loyal Mistral Maid 32K V0.2 A	32K / 21.5 GB	3	1
Chikuma 10.7B V2	32K / 21.4 GB	10	0
PiVoT 10.7B Mistral V0.2 RP	32K / 21.4 GB	67	7
Mark1 Revision 10.7B	32K / 42.9 GB	16	1

Note: green Score (e.g. "73.2") means that the model is better than Joseph717171/multi_verse_model-10.7B.