What are the hardware requirements for Z MODEL1 V1 SCE?

Z MODEL1 V1 SCE requires approximately 141.9 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Z MODEL1 V1 SCE and how large is it?

Z MODEL1 V1 SCE is developed by TareksLab, a model with 70b 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 Z MODEL1 V1 SCE?

Z MODEL1 V1 SCE is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Z MODEL1 V1 SCE by TareksLab — VRAM 141.9GB, 128K context

Name: Z MODEL1 V1 SCE
Author: TareksLab

Z MODEL1 V1 SCE is an open-source language model by TareksLab. Features: 70b LLM, VRAM: 141.9GB, Context: 128K, Merged, LLM Explorer Score: 0.18.

Merged Model Arxiv:2408.07990 Autotrain compatible Base model:sao10k/l3.1-70b-han... Base model:sao10k/llama-3.3-70... Base model:sicariussicariistuf... Base model:tareksgraveyard/bra... Conversational Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/TareksGraveyard/Z-MODEL1-V1-SCE

Z MODEL1 V1 SCE Parameters and Internals

LLM Name	Z MODEL1 V1 SCE
Repository 🤗	https://huggingface.co/TareksGraveyard/Z-MODEL1-V1-SCE
Base Model(s)	Braniac V3 LLaMa 70B Sao10K/Llama-3.3-70B-Vulpecula-r1 Negative LLAMA 70B Sao10K/L3.1-70B-Hanami-x1 TareksLab/Braniac-V3-LLaMa-70B Sao10K/Llama-3.3-70B-Vulpecula-r1 SicariusSicariiStuff/Negative_LLAMA_70B Sao10K/L3.1-70B-Hanami-x1
Merged Model	Yes
Model Size	70b
Required VRAM	141.9 GB
Updated	2025-05-26
Maintainer	TareksLab
Model Type	llama
Model Files	4.7 GB: 1-of-30 4.7 GB: 2-of-30 5.0 GB: 3-of-30 5.0 GB: 4-of-30 4.7 GB: 5-of-30 4.7 GB: 6-of-30 4.7 GB: 7-of-30 5.0 GB: 8-of-30 5.0 GB: 9-of-30 4.7 GB: 10-of-30 4.7 GB: 11-of-30 4.7 GB: 12-of-30 5.0 GB: 13-of-30 5.0 GB: 14-of-30 4.7 GB: 15-of-30 4.7 GB: 16-of-30 4.7 GB: 17-of-30 5.0 GB: 18-of-30 5.0 GB: 19-of-30 4.7 GB: 20-of-30 4.7 GB: 21-of-30 4.7 GB: 22-of-30 5.0 GB: 23-of-30 5.0 GB: 24-of-30 4.7 GB: 25-of-30 4.7 GB: 26-of-30 4.7 GB: 27-of-30 5.0 GB: 28-of-30 5.0 GB: 29-of-30 2.0 GB: 30-of-30
Model Architecture	LlamaForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.51.3
Tokenizer Class	PreTrainedTokenizer
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128288
Torch Data Type	bfloat16

Rank the Z MODEL1 V1 SCE 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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