What are the hardware requirements for Autotrain Z7uyk Cwqtz?

Autotrain Z7uyk Cwqtz requires approximately 0.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Autotrain Z7uyk Cwqtz and how large is it?

Autotrain Z7uyk Cwqtz is developed by kkmh1807, 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 Autotrain Z7uyk Cwqtz?

Autotrain Z7uyk Cwqtz is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Autotrain Z7uyk Cwqtz by kkmh1807 — VRAM 0.2GB

Name: Autotrain Z7uyk Cwqtz
Author: kkmh1807

Autotrain Z7uyk Cwqtz is an open-source language model by kkmh1807. Features: 7b LLM, VRAM: 0.2GB, License: other, Instruction-Based, LLM Explorer Score: 0.16.

Autotrain Base model:finetune:norallm/no... Base model:norallm/normistral-... Conversational Endpoints compatible Instruct Lora Peft Region:us Safetensors Tensorboard

Model Card on HF 🤗: https://huggingface.co/kkmh1807/autotrain-z7uyk-cwqtz

Autotrain Z7uyk Cwqtz Parameters and Internals

LLM Name	Autotrain Z7uyk Cwqtz
Repository 🤗	https://huggingface.co/kkmh1807/autotrain-z7uyk-cwqtz
Base Model(s)	Normistral 7B Warm Instruct norallm/normistral-7b-warm-instruct
Model Size	7b
Required VRAM	0.2 GB
Updated	2025-02-18
Maintainer	kkmh1807
Instruction-Based	Yes
Model Files	0.2 GB 0.0 GB
Model Architecture	AutoModel
License	other
Model Max Length	2048
Is Biased	none
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	</s>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	v_proj\|gate_proj\|o_proj\|down_proj\|up_proj\|q_proj\|k_proj
LoRA Alpha	32
LoRA Dropout	0.05
R Param	16

Rank the Autotrain Z7uyk Cwqtz 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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Note: green Score (e.g. "73.2") means that the model is better than kkmh1807/autotrain-z7uyk-cwqtz.