What are the hardware requirements for Genz 70B GGML?

Genz 70B GGML requires approximately 28.6 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

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

Genz 70B GGML 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 GGML?

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

Genz 70B GGML by TheBloke — VRAM 28.6GB

Name: Genz 70B GGML
Author: TheBloke

Genz 70B GGML is an open-source language model by TheBloke. Features: 70b LLM, VRAM: 28.6GB, License: llama2, Quantized, LLM Explorer Score: 0.08.

Base model:budecosystem/genz-7... Base model:finetune:budecosyst... En Ggml Llama Quantized Region:us

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

Genz 70B GGML Parameters and Internals

Model Type

auto-regressive, text generation

Use Cases

Applications:

research on large language models, text summarization, text generation, chatbot creation

Limitations:

production use without adequate assessment of risks and mitigation, any irresponsible or harmful use, violation of laws or regulations including trade compliance laws

Considerations:

Fine-tuning for specific tasks is recommended. Appropriate precautions for production use are advised.

Additional Notes

Designed to be a powerful tool for research on large language models and further fine-tuning.

Training Details

Data Sources:

OpenAssistant, Thought Source

Methodology:

Supervised Fine-Tuning (SFT)

Model Architecture:

Optimized transformer architecture

Release Notes

Version:

GenZ 70B

Date:

2023-08-21

Notes:

Release of GenZ 70B model

LLM Name	Genz 70B GGML
Repository 🤗	https://huggingface.co/TheBloke/Genz-70b-GGML
Model Name	GenZ 70B
Model Creator	Bud
Base Model(s)	Genz 70B budecosystem/genz-70b
Model Size	70b
Required VRAM	28.6 GB
Updated	2026-08-06
Maintainer	TheBloke
Model Type	llama
Model Files	28.6 GB 36.1 GB 33.0 GB 29.7 GB 38.9 GB 43.2 GB 41.4 GB 38.9 GB 47.5 GB 48.8 GB 47.5 GB
Supported Languages	en
GGML Quantization	Yes
Quantization Type	ggml
Model Architecture	AutoModel
License	llama2

Rank the Genz 70B GGML 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 GGML

Best Alternatives	Context / RAM	Downloads	Likes
Synthia 70B V1.1 GGML	0K / 28.6 GB	3	4
...boros L2 70B 2.1 Creative GGML	0K / 28.6 GB	4	3
...iction.live Kimiko V2 70B GGML	0K / 28.6 GB	8	2
Llama 2 70B Chat GGML	0K / 28.6 GB	10	161
Lemur 70B Chat V1 GGML	0K / 29 GB	4	3
Model 007 70B GGML	0K / 28.6 GB	6	1
Airoboros L2 70B 2.1 GGML	0K / 28.6 GB	6	2
Nous Hermes Llama2 70B GGML	0K / 29 GB	4	13
Llama 2 70B Orca 200K GGML	0K / 28.6 GB	7	3
Synthia 70B GGML	0K / 28.6 GB	3	2

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