What are the hardware requirements for TheTop 5x7B Instruct P V0.1?

TheTop 5x7B Instruct P V0.1 requires approximately 28.6 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 TheTop 5x7B Instruct P V0.1 and how large is it?

TheTop 5x7B Instruct P V0.1 is developed by MaziyarPanahi, a model with 14.2b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does TheTop 5x7B Instruct P V0.1 perform on standard benchmarks?

TheTop 5x7B Instruct P V0.1 has the following published scores: MMLU 63.36. Compare against reference models on this page or on the LLM Explorer leaderboards.

TheTop 5x7B Instruct P V0.1 by MaziyarPanahi — VRAM 28.6GB, 32K context

Name: TheTop 5x7B Instruct P V0.1
Author: MaziyarPanahi

TheTop 5x7B Instruct P V0.1 is an open-source language model by MaziyarPanahi. Features: 14.2b LLM, VRAM: 28.6GB, Context: 32K, License: apache-2.0, MoE, Instruction-Based, LLM Explorer Score: 0.15, Arc: 38.6, HellaSwag: 51.5, MMLU: 63.4.

Endpoints compatible Instruct Merge Mistral Model-index Moe Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/TheTop-5x7B-Instruct-P-v0.1

TheTop 5x7B Instruct P V0.1 Benchmarks

ARC: 38.57 vs 96.7 (so35)^-60.1%

HellaSwag: 51.54 vs 95.3 (gpt4)^-45.9%

MMLU: 63.36 vs 88.3 (so35)^-28.2%

LLME Score: 0.14965

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

TheTop 5x7B Instruct P V0.1 (MaziyarPanahi/TheTop-5x7B-Instruct-P-v0.1)

🌟 Advertise your project 🚀

TheTop 5x7B Instruct P V0.1 Parameters and Internals

Model Type

text-generation

Additional Notes

Merge of top 7B models using the PASS method with support from mergekit for merging pre-trained language models.

LLM Name	TheTop 5x7B Instruct P V0.1
Repository 🤗	https://huggingface.co/MaziyarPanahi/TheTop-5x7B-Instruct-P-v0.1
Model Size	14.2b
Required VRAM	28.6 GB
Updated	2026-05-13
Maintainer	MaziyarPanahi
Model Type	mistral
Instruction-Based	Yes
Model Files	4.0 GB: 1-of-8 4.0 GB: 2-of-8 4.0 GB: 3-of-8 4.0 GB: 4-of-8 4.0 GB: 5-of-8 3.9 GB: 6-of-8 4.0 GB: 7-of-8 0.7 GB: 8-of-8
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.37.2
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32000
Torch Data Type	bfloat16

Quantized Models of the TheTop 5x7B Instruct P V0.1

Model	Likes	Downloads	VRAM
...eTop 5x7B Instruct P V0.1 GGUF	0	38	5 GB

Best Alternatives to TheTop 5x7B Instruct P V0.1

Best Alternatives	Context / RAM	Downloads	Likes
SeaPhi3 Medium	4K / 8.4 GB	1221	4

Rank the TheTop 5x7B Instruct P V0.1 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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

What open-source LLMs or SLMs are you in search of? 53999 in total.

Email us: info@extractum.io. Our Privacy Policy | Terms and Conditions | Suggest an improvement.

Our Social Media →

Original data from HuggingFace, OpenCompass and various public git repos.

Check out Ag3ntum — our secure, self-hosted AI agent for server management.

Release v20260328a

Support LLM Explorer

TheTop 5x7B Instruct P V0.1 by MaziyarPanahi