What are the hardware requirements for Proto Athena 4x7B?

Proto Athena 4x7B requires approximately 48.4 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 Proto Athena 4x7B and how large is it?

Proto Athena 4x7B is developed by Jacoby746, a model with 24.2b 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 Proto Athena 4x7B?

Proto Athena 4x7B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Proto Athena 4x7B by Jacoby746 — VRAM 48.4GB, 32K context

Name: Proto Athena 4x7B
Author: Jacoby746

Proto Athena 4x7B is an open-source language model by Jacoby746. Features: 24.2b LLM, VRAM: 48.4GB, Context: 32K, License: apache-2.0, MoE, Instruction-Based, LLM Explorer Score: 0.19.

Base model:baai/infinity-instr... Base model:gryphe/tiamat-7b-1.... Base model:merge:baai/infinity... Base model:merge:gryphe/tiamat... Base model:merge:sanjiwatsuki/... Base model:merge:uukuguy/speec... Base model:sanjiwatsuki/kunoic... Base model:uukuguy/speechless-... Instruct Mixtral Model-index Moe Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Jacoby746/Proto-Athena-4x7B

Proto Athena 4x7B Parameters and Internals

LLM Name	Proto Athena 4x7B
Repository 🤗	https://huggingface.co/Jacoby746/Proto-Athena-4x7B
Base Model(s)	...ity Instruct 7M Gen Mistral 7B Senseable/WestLake-7B-v2 Kunoichi DPO V2 7B Gryphe/Tiamat-7b-1.1-DPO uukuguy/speechless-instruct-mistral-7b-v0.2 BAAI/Infinity-Instruct-7M-Gen-mistral-7B Senseable/WestLake-7B-v2 SanjiWatsuki/Kunoichi-DPO-v2-7B Gryphe/Tiamat-7b-1.1-DPO uukuguy/speechless-instruct-mistral-7b-v0.2
Model Size	24.2b
Required VRAM	48.4 GB
Updated	2026-08-06
Maintainer	Jacoby746
Model Type	mixtral
Instruction-Based	Yes
Model Files	7.9 GB: 1-of-7 8.0 GB: 2-of-7 8.0 GB: 3-of-7 8.0 GB: 4-of-7 8.0 GB: 5-of-7 8.0 GB: 6-of-7 0.5 GB: 7-of-7
Model Architecture	MixtralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.44.2
Tokenizer Class	LlamaTokenizer
Padding Token	<s>
Vocabulary Size	32002
Torch Data Type	float16

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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 Proto Athena 4x7B

Best Alternatives	Context / RAM	Downloads	Likes
Proto Athena V0.2 4x7B	32K / 48.4 GB	8	0
...erges MoE 4x7b V10 Mixtralv0.3	32K / 48.3 GB	6	0
Sixtyoneeighty 4x7B V1	32K / 48.3 GB	62	0
MixtureofMerges MoE 4x7bRP V11	32K / 48.3 GB	4	1
West Ramen 7Bx4	32K / 48.7 GB	53	0
Eclipse Mistral 4x7b	32K / 48.5 GB	16	1
MoE Merging	32K / 48.3 GB	70	0
Boundary Mistral 4x7b MoE	32K / 48.7 GB	117	1
...tral Fusion 4x7B Instruct V0.1	32K / 48.5 GB	8	18
... Extraction 4x7B Instruct V0.1	32K / 48.5 GB	4	5