What are the hardware requirements for Zephyr Rag Agent Webgpt?

Zephyr Rag Agent Webgpt requires approximately 40.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Zephyr Rag Agent Webgpt and how large is it?

Zephyr Rag Agent Webgpt is developed by erbacher, a model with 2.8b 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 Zephyr Rag Agent Webgpt?

Zephyr Rag Agent Webgpt is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Zephyr Rag Agent Webgpt by erbacher — VRAM 40.1GB

Name: Zephyr Rag Agent Webgpt
Author: erbacher

Zephyr Rag Agent Webgpt is an open-source language model by erbacher. Features: 2.8b LLM, VRAM: 40.1GB, LLM Explorer Score: 0.14.

Arxiv:1910.09700 Endpoints compatible Lora Region:us Safetensors Sharded Stablelm Tensorflow

Model Card on HF 🤗: https://huggingface.co/erbacher/zephyr-rag-agent-webgpt

Zephyr Rag Agent Webgpt Benchmarks

LLME Score: 0.13719

^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)

Zephyr Rag Agent Webgpt (erbacher/zephyr-rag-agent-webgpt)

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Zephyr Rag Agent Webgpt Parameters and Internals

LLM Name	Zephyr Rag Agent Webgpt
Repository 🤗	https://huggingface.co/erbacher/zephyr-rag-agent-webgpt
Model Size	2.8b
Required VRAM	40.1 GB
Updated	2026-04-28
Maintainer	erbacher
Model Files	0.2 GB 5.0 GB: 1-of-3 5.0 GB: 1-of-6 5.0 GB: 2-of-3 4.9 GB: 2-of-6 1.2 GB: 3-of-3 5.0 GB: 3-of-6 5.0 GB: 4-of-6 4.8 GB: 5-of-6 4.2 GB: 6-of-6
Model Architecture	AutoModelForCausalLM
Is Biased	none
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	o_proj\|up_proj\|down_proj\|gate_proj\|v_proj\|k_proj\|q_proj
LoRA Alpha	16
LoRA Dropout	0.05
R Param	16

Best Alternatives to Zephyr Rag Agent Webgpt

Best Alternatives	Context / RAM	Downloads	Likes
Phi 2 Electrical Engineering	0K / 5.6 GB	70	27
Phi Med V1	0K / 11.1 GB	4	1
Phi2 Bunny	0K / 5.6 GB	673	3
Phi2 Sqlcoder	0K / 5.6 GB	160	7

Rank the Zephyr Rag Agent Webgpt 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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Zephyr Rag Agent Webgpt by erbacher

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Zephyr Rag Agent Webgpt Benchmarks

Zephyr Rag Agent Webgpt Parameters and Internals

Best Alternatives to Zephyr Rag Agent Webgpt

Rank the Zephyr Rag Agent Webgpt Capabilities

What open-source LLMs or SLMs are you in search of? 53254 in total.