What are the hardware requirements for Zenos GPT J 6B Instruct 4bit?

Zenos GPT J 6B Instruct 4bit requires approximately 3.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Zenos GPT J 6B Instruct 4bit and how large is it?

Zenos GPT J 6B Instruct 4bit is developed by webpolis, a model with 6b 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 Zenos GPT J 6B Instruct 4bit?

Zenos GPT J 6B Instruct 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Zenos GPT J 6B Instruct 4bit by webpolis — VRAM 3.4GB

Name: Zenos GPT J 6B Instruct 4bit
Author: webpolis

Zenos GPT J 6B Instruct 4bit is an open-source language model by webpolis. Features: 6b LLM, VRAM: 3.4GB, Quantized, Instruction-Based, LLM Explorer Score: 0.09.

4-bit 4bit Bitsandbytes Endpoints compatible Fp16 Ggml Gptj Instruct Pytorch Q4 Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/webpolis/zenos-gpt-j-6B-instruct-4bit

Zenos GPT J 6B Instruct 4bit Parameters and Internals

Model Type

text generation

Additional Notes

The model can be used for various NLP tasks such as text generation and summarization. An experimental Twitter bot is available at https://twitter.com/ZenosBot.

Supported Languages

Spanish (proficient)

Training Details

Data Sources:

https://huggingface.co/datasets/bertin-project/alpaca-spanish, https://huggingface.co/datasets/FreedomIntelligence/evol-instruct-spanish

Methodology:

Fine-tuning using Low-Rank Adaptation (LoRa).

Model Architecture:

GPT-J

Input Output

Input Format:

Text

Accepted Modalities:

text

Output Format:

Text

Performance Tips:

Using the GGML 4 bits model for inference with the rustformers' llm tool on a CPU.

LLM Name	Zenos GPT J 6B Instruct 4bit
Repository 🤗	https://huggingface.co/webpolis/zenos-gpt-j-6B-instruct-4bit
Model Size	6b
Required VRAM	3.4 GB
Updated	2026-07-27
Maintainer	webpolis
Model Type	gptj
Instruction-Based	Yes
Model Files	3.4 GB 3.7 GB 3.7 GB
GGML Quantization	Yes
Quantization Type	fp16\|ggml\|q4\|4bit
Model Architecture	GPTJForCausalLM
Model Max Length	2048
Transformers Version	4.35.0.dev0
Tokenizer Class	GPT2Tokenizer
Vocabulary Size	50260
Torch Data Type	bfloat16
Activation Function	gelu_new

Rank the Zenos GPT J 6B Instruct 4bit 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 Zenos GPT J 6B Instruct 4bit

Best Alternatives	Context / RAM	Downloads	Likes
GPT J 6B Alpaca Gpt4	0K / 24.3 GB	46	20
Pyg Instruct Wizardlm	0K / 12.2 GB	76	1

Note: green Score (e.g. "73.2") means that the model is better than webpolis/zenos-gpt-j-6B-instruct-4bit.