What are the hardware requirements for Bloomz 560M Pubmed Qa Llama 2 7B Chat Hf Uld Loss?

Bloomz 560M Pubmed Qa Llama 2 7B Chat Hf Uld Loss requires approximately 2.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Bloomz 560M Pubmed Qa Llama 2 7B Chat Hf Uld Loss and how large is it?

Bloomz 560M Pubmed Qa Llama 2 7B Chat Hf Uld Loss is developed by Nicolas-BZRD, a model with 7b 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 Bloomz 560M Pubmed Qa Llama 2 7B Chat Hf Uld Loss?

Bloomz 560M Pubmed Qa Llama 2 7B Chat Hf Uld Loss is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Bloomz 560M Pubmed Qa Llama 2 7B Chat Hf Uld Loss by Nicolas-BZRD — VRAM 2.2GB

Name: Bloomz 560M Pubmed Qa Llama 2 7B Chat Hf Uld Loss
Author: Nicolas-BZRD

Bloomz 560M Pubmed Qa Llama 2 7B Chat Hf Uld Loss is an open-source language model by Nicolas-BZRD. Features: 7b LLM, VRAM: 2.2GB, LLM Explorer Score: 0.11.

Bloom Endpoints compatible Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/Nicolas-BZRD/bloomz-560m_pubmed_qa_Llama-2-7b-chat-hf_uld_loss

Bloomz 560M Pubmed Qa Llama 2 7B Chat Hf Uld Loss Parameters and Internals

LLM Name	Bloomz 560m Pubmed Qa Llama 2 7B Chat Hf Uld Loss
Repository 🤗	https://huggingface.co/Nicolas-BZRD/bloomz-560m_pubmed_qa_Llama-2-7b-chat-hf_uld_loss
Model Size	7b
Required VRAM	2.2 GB
Updated	2026-07-14
Maintainer	Nicolas-BZRD
Model Type	bloom
Model Files	2.2 GB
Model Architecture	BloomForCausalLM
Transformers Version	4.36.2
Vocabulary Size	250880
Torch Data Type	float32

Rank the Bloomz 560M Pubmed Qa Llama 2 7B Chat Hf Uld Loss capabilities

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Factuality and Completeness of Knowledge
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Note: green Score (e.g. "73.2") means that the model is better than Nicolas-BZRD/bloomz-560m_pubmed_qa_Llama-2-7b-chat-hf_uld_loss.