What are the hardware requirements for Z MODEL5 V1 SCE?

Z MODEL5 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 MODEL5 V1 SCE and how large is it?

Z MODEL5 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 MODEL5 V1 SCE?

Z MODEL5 V1 SCE is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Z MODEL5 V1 SCE by TareksLab — VRAM 141.9GB, 128K context

Name: Z MODEL5 V1 SCE
Author: TareksLab

Z MODEL5 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:mawdistical/feral-a... Base model:mawdistical/vulpine... Base model:sao10k/l3.1-70b-han... Base model:tareksgraveyard/dop... Conversational Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/TareksGraveyard/Z-MODEL5-V1-SCE

Z MODEL5 V1 SCE Parameters and Internals

LLM Name	Z MODEL5 V1 SCE
Repository 🤗	https://huggingface.co/TareksGraveyard/Z-MODEL5-V1-SCE
Base Model(s)	Vulpine Seduction 70B Sao10K/L3.1-70B-Hanami-x1 Doppleganger V3 LLaMa 70B Feral Allura 70B Mawdistical/Vulpine-Seduction-70B Sao10K/L3.1-70B-Hanami-x1 TareksLab/Doppleganger-V3-LLaMa-70B Mawdistical/Feral-Allura-70B
Merged Model	Yes
Model Size	70b
Required VRAM	141.9 GB
Updated	2025-05-25
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 MODEL5 V1 SCE 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

Best Alternatives to Z MODEL5 V1 SCE

Best Alternatives	Context / RAM	Downloads	Likes
... Chat 1048K Chinese Llama3 70B	1024K / 141.9 GB	9069	5
... Chat 1048K Chinese Llama3 70B	1024K / 141.9 GB	7684	4
... 3 70B Instruct Gradient 1048K	1024K / 141.9 GB	22	122
Llama3 Function Calling 1048K	1024K / 141.9 GB	5	1
...a 3 70B Instruct Gradient 524K	512K / 141.9 GB	24	23
...a 3 70B Instruct Gradient 262K	256K / 141.9 GB	20	56
...ama 3 70B Arimas Story RP V2.0	256K / 141.1 GB	10	3
...ama 3 70B Arimas Story RP V1.6	256K / 141.2 GB	5	0
...ama 3 70B Arimas Story RP V1.5	256K / 141.2 GB	21	3
Yi 70B 200K RPMerge Franken	195K / 142.4 GB	4	1