What are the hardware requirements for Nlp?

Nlp requires approximately 2.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Nlp and how large is it?

Nlp is developed by fgasdrasdyxcvv, a model with 1b 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 Nlp?

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

Nlp by fgasdrasdyxcvv — VRAM 2.2GB

Name: Nlp
Author: fgasdrasdyxcvv

Nlp is an open-source language model by fgasdrasdyxcvv. Features: 1b LLM, VRAM: 2.2GB, Instruction-Based, LLM Explorer Score: 0.12.

Conversational Custom code Instruct Openelm Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/fgasdrasdyxcvv/nlp

Nlp Parameters and Internals

LLM Name	Nlp
Repository 🤗	https://huggingface.co/fgasdrasdyxcvv/nlp
Model Size	1b
Required VRAM	2.2 GB
Updated	2026-07-14
Maintainer	fgasdrasdyxcvv
Model Type	openelm
Instruction-Based	Yes
Model Files	2.2 GB 0.0 GB
Model Architecture	OpenELMForCausalLM
Transformers Version	4.40.1
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32002
Torch Data Type	bfloat16

Rank the Nlp 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 Nlp

Best Alternatives	Context / RAM	Downloads	Likes
OpenELM 1 1B Instruct	0K / 2.2 GB	1553368	75
Openelm1 1B CP ML ArXiv Papers	0K / 2.2 GB	65	0
Nlp Final Model	0K / 2.2 GB	5	0
Nlp Final Model	0K / 2.2 GB	5	0

Note: green Score (e.g. "73.2") means that the model is better than fgasdrasdyxcvv/nlp.