What are the hardware requirements for Genz 70B GGUF?

Genz 70B GGUF requires approximately 29.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Genz 70B GGUF and how large is it?

Genz 70B GGUF is developed by TheBloke, a model with 70b 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 Genz 70B GGUF?

Genz 70B GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Genz 70B GGUF by TheBloke — VRAM 29.3GB

Name: Genz 70B GGUF
Author: TheBloke

Genz 70B GGUF is an open-source language model by TheBloke. Features: 70b LLM, VRAM: 29.3GB, License: llama2, Quantized, LLM Explorer Score: 0.08.

Base model:budecosystem/genz-7... Base model:quantized:budecosys... En Gguf Llama Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/TheBloke/Genz-70b-GGUF

Genz 70B GGUF Parameters and Internals

Model Type

llama

Use Cases

Areas:

research

Applications:

specialization and fine-tuning for tasks like text summarization, generation, chatbot creation

Primary Use Cases:

Text summarization, Text generation, Chatbot creation

Limitations:

No production use without risk assessment, Avoid irresponsible/harmful uses

Considerations:

Consider fine-tuning for specific tasks with precautions for production use.

Additional Notes

GenZ is optimized through a process of fine-tuning on the pretrained Llama V2 70B using various datasets.

Training Details

Data Sources:

OpenAssistant, Thought Source

Methodology:

Supervised Fine-Tuning (SFT)

Model Architecture:

Auto-regressive language model using an optimized transformer architecture.

Input Output

Input Format:

### User: {prompt} ### Assistant:

Accepted Modalities:

text

Release Notes

Version:

21 August 2023

Notes:

Release of GenZ 70B model.

Version:

27 July 2023

Notes:

Release of GenZ-13B V2 with ggml and 4-bit quantisation.

Version:

26 July 2023

Notes:

Release of Genz 13B v2 model.

Version:

20 July 2023

Notes:

Release of Genz 13B model.

LLM Name	Genz 70B GGUF
Repository 🤗	https://huggingface.co/TheBloke/Genz-70b-GGUF
Model Name	GenZ 70B
Model Creator	Bud
Base Model(s)	Genz 70B budecosystem/genz-70b
Model Size	70b
Required VRAM	29.3 GB
Updated	2026-07-22
Maintainer	TheBloke
Model Type	llama
Model Files	29.3 GB 36.1 GB 33.2 GB 29.9 GB 38.9 GB 41.4 GB 39.1 GB 47.5 GB 48.8 GB 47.5 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel
License	llama2

Rank the Genz 70B GGUF 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 Genz 70B GGUF

Best Alternatives	Context / RAM	Downloads	Likes
...us Qwen3 R1 Llama Distill GGUF	0K / 0.8 GB	63	2
...gekit Passthrough Yqhuxcv GGUF	0K / 16.9 GB	14	0
KafkaLM 70B German V0.1 GGUF	0K / 25.5 GB	1974	84
CodeLlama 70B Python GGUF	0K / 25.5 GB	1799	45
CodeLlama 70B Instruct GGUF	0K / 25.5 GB	1375	64
Meta Llama 3 70B Instruct GGUF	0K / 26.4 GB	133	4
DAD Model V2 70B Q4	0K / 42.5 GB	13	0
CodeLlama 70B Hf GGUF	0K / 25.5 GB	618	42
Llama 2 70B Guanaco QLoRA GGUF	0K / 29.3 GB	22	0
Swallow 70B Instruct GGUF	0K / 29.4 GB	1495	9

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Genz-70b-GGUF.