What are the hardware requirements for NousResearch Genstruct 7B GGUF?

NousResearch Genstruct 7B GGUF requires approximately 14.4 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 NousResearch Genstruct 7B GGUF and how large is it?

NousResearch Genstruct 7B GGUF is developed by Isaak-Carter, a model with 7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does NousResearch Genstruct 7B GGUF perform on standard benchmarks?

NousResearch Genstruct 7B GGUF has the following published scores: MMLU 64.1. Compare against reference models on this page or on the LLM Explorer leaderboards.

NousResearch Genstruct 7B GGUF by Isaak-Carter — VRAM 14.4GB, 32K context

Name: NousResearch Genstruct 7B GGUF
Author: Isaak-Carter

NousResearch Genstruct 7B GGUF is an open-source language model by Isaak-Carter. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, Quantized, HF Score: 61, LLM Explorer Score: 0.14, Arc: 83.6, HellaSwag: 78.9, MMLU: 64.1, TruthfulQA: 42.2, WinoGrande: 78.4, GSM8K: 47.5.

Arxiv:2310.04484 Base model:mistralai/mistral-7... Base model:quantized:mistralai... Conversational En Endpoints compatible Finetuned Gguf Instruct Mistral Quantized Region:us Safetensors Sharded Synthetic Tensorflow

Model Card on HF 🤗: https://huggingface.co/Goekdeniz-Guelmez/NousResearch-Genstruct-7B-GGUF

NousResearch Genstruct 7B GGUF Benchmarks

ARC: 83.6 vs 96.7 (so35)^-13.5%

HellaSwag: 78.9 vs 95.3 (gpt4)^-17.2%

MMLU: 64.1 vs 88.3 (so35)^-27.4%

TruthfulQA: 42.15 vs 59 (gpt4)^-28.6%

WinoGrande: 78.37 vs 87.5 (gpt4)^-10.4%

GSM8K: 47.5 vs 96.4 (so35)^-50.7%

OpenCompas: 53.6 vs 73.3 (gpt4)^-26.9%

Exam: 63.7 vs 77.2 (gpt4)^-17.5%

Language: 41.9 vs 62 (gpt4)^-32.4%

Knowledge: 58.1 vs 73.5 (gpt4)^-21%

Understand: 62.3 vs 70 (gpt4)^-11%

Reasoning: 49.8 vs 74.4 (gpt4)^-33.1%

LLME Score: 0.14174

^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)

NousResearch Genstruct 7B GGUF (Goekdeniz-Guelmez/NousResearch-Genstruct-7B-GGUF)

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NousResearch Genstruct 7B GGUF Parameters and Internals

Model Type

instruct, finetune, synthetic

Additional Notes

Genstruct 7B is an instruction-generation model, designed to create valid instructions from a raw text corpus, enabling the creation of new, partially synthetic instruction finetuning datasets.

Supported Languages

en (English)

LLM Name	NousResearch Genstruct 7B GGUF
Repository 🤗	https://huggingface.co/Goekdeniz-Guelmez/NousResearch-Genstruct-7B-GGUF
Base Model(s)	mistralai/Mistral-7B-v0.1 mistralai/Mistral-7B-v0.1
Model Size	7b
Required VRAM	14.4 GB
Updated	2026-05-07
Maintainer	Isaak-Carter
Model Type	mistral
Model Files	3.8 GB 3.5 GB 3.2 GB 4.4 GB 4.1 GB 5.0 GB 5.1 GB 5.0 GB 5.9 GB 7.7 GB 14.5 GB 4.9 GB: 1-of-3 5.0 GB: 2-of-3 4.5 GB: 3-of-3
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.36.2
Tokenizer Class	LlamaTokenizer
Padding Token	[PAD]
Vocabulary Size	32001
Torch Data Type	bfloat16

Best Alternatives to NousResearch Genstruct 7B GGUF

Best Alternatives	Context / RAM	Downloads	Likes
MegaBeam Mistral 7B 300K Gguf	282K / 5 GB	53	3
MegaBeam Mistral 7B 300K Gguf	282K / 5 GB	35	3
Mistral 7B Instruct V0.2.gguf	32K / 14.5 GB	17	3
Mistral 7B Instruct V0.2 GGUF	32K / 4.4 GB	29	2
...andle Mistral 7B Instruct V0.2	32K / 14.4 GB	7	0
...andle Dolphin 2.2.1 Mistral 7B	32K / 14.4 GB	100	0
Boptruth Agatha 7B	32K / 14.4 GB	28	0
Mahou 1.2a Mistral 7B	32K / 14.4 GB	31	7
Moxin 7B LLM	32K / 0.9 GB	2009	19
Tamil Mistral 7B Instruct V0.1	32K / 14.8 GB	296	14

Note: green Score (e.g. "73.2") means that the model is better than Goekdeniz-Guelmez/NousResearch-Genstruct-7B-GGUF.

Rank the NousResearch Genstruct 7B GGUF 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

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Release v20260328a

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NousResearch Genstruct 7B GGUF by Isaak-Carter

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NousResearch Genstruct 7B GGUF Benchmarks

NousResearch Genstruct 7B GGUF Parameters and Internals

Best Alternatives to NousResearch Genstruct 7B GGUF

Rank the NousResearch Genstruct 7B GGUF Capabilities

What open-source LLMs or SLMs are you in search of? 53518 in total.