What are the hardware requirements for Svd Safety L2 Remove50 Disc B005?

Svd Safety L2 Remove50 Disc B005 requires approximately 13.5 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Svd Safety L2 Remove50 Disc B005 and how large is it?

Svd Safety L2 Remove50 Disc B005 is developed by Jeesup, 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 Svd Safety L2 Remove50 Disc B005?

Svd Safety L2 Remove50 Disc B005 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Svd Safety L2 Remove50 Disc B005 by Jeesup — VRAM 13.5GB, 4K context

Name: Svd Safety L2 Remove50 Disc B005
Author: Jeesup

Svd Safety L2 Remove50 Disc B005 is an open-source language model by Jeesup. Features: 7b LLM, VRAM: 13.5GB, Context: 4K, License: llama2, LLM Explorer Score: 0.32.

Base model:finetune:meta-llama... Base model:meta-llama/llama-2-... Compression Conversational Endpoints compatible Interpretability Llama Llama2 Region:us Safetensors Safety Sharded Svd Tensorflow

Model Card on HF 🤗: https://huggingface.co/Jeesup/svd-safety-l2_remove50_disc_b005

Svd Safety L2 Remove50 Disc B005 Parameters and Internals

LLM Name	Svd Safety L2 Remove50 Disc B005
Repository 🤗	https://huggingface.co/Jeesup/svd-safety-l2_remove50_disc_b005
Base Model(s)	Llama 2 7B Chat Hf meta-llama/Llama-2-7b-chat-hf
Model Size	7b
Required VRAM	13.5 GB
Updated	2026-09-11
Maintainer	Jeesup
Model Type	llama
Model Files	4.9 GB: 1-of-3 5.0 GB: 2-of-3 3.6 GB: 3-of-3
Model Architecture	LlamaForCausalLM
License	llama2
Context Length	4096
Model Max Length	4096
Transformers Version	4.35.2
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the Svd Safety L2 Remove50 Disc B005 capabilities

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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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