What are the hardware requirements for Hybridagent 8B Exl3 Vllm Experimental?

Hybridagent 8B Exl3 Vllm Experimental requires approximately 0.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Hybridagent 8B Exl3 Vllm Experimental and how large is it?

Hybridagent 8B Exl3 Vllm Experimental is developed by JRamirez-UAB, a model with 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 Hybridagent 8B Exl3 Vllm Experimental?

Hybridagent 8B Exl3 Vllm Experimental is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Hybridagent 8B Exl3 Vllm Experimental by JRamirez-UAB — VRAM 0.1GB

Name: Hybridagent 8B Exl3 Vllm Experimental
Author: JRamirez-UAB

Hybridagent 8B Exl3 Vllm Experimental is an open-source language model by JRamirez-UAB. Features: 8b LLM, VRAM: 0.1GB, License: mit.

Arxiv:2406.11235 Arxiv:2610.18861 5-bit Agent Ampere Base model:quantized:togetherc... Base model:togethercomputer/hy... Conversational En Endpoints compatible Exl3 Experimental Hybrid-reasoning Latent-reasoning Lora Quantization Qwen3 Region:us Rtx3090 Safetensors Tool-use Vllm

Model Card on HF 🤗: https://huggingface.co/JRamirez-UAB/hybridagent-8b-exl3-vllm-experimental

Hybridagent 8B Exl3 Vllm Experimental Parameters and Internals

LLM Name	Hybridagent 8B Exl3 Vllm Experimental
Repository 🤗	https://huggingface.co/JRamirez-UAB/hybridagent-8b-exl3-vllm-experimental
Base Model(s)	HybridAgent 8B Agentic togethercomputer/HybridAgent-8B-Agentic
Model Size	8b
Required VRAM	0.1 GB
Updated	2026-10-27
Maintainer	JRamirez-UAB
Model Files	0.1 GB 6.0 GB
Supported Languages	en
Model Architecture	AutoModelForCausalLM
License	mit
Model Max Length	131072
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
LoRA Model	Yes
LoRA Alpha	0
LoRA Dropout	0
R Param	0
Errors	replace

Rank the Hybridagent 8B Exl3 Vllm Experimental 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

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Llama 3.1 8B Instuct Uz	128K / 16.1 GB	1000	15
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...ertus 8B Financial Reasoner V2	0K / 0.2 GB	23	2
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Medllama3 V20	0K / 16.1 GB	25328	78

Note: green Score (e.g. "73.2") means that the model is better than JRamirez-UAB/hybridagent-8b-exl3-vllm-experimental.