What are the hardware requirements for PixieZehirNano?

PixieZehirNano requires approximately 3.7 GB of VRAM and supports a context window of 16K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed PixieZehirNano and how large is it?

PixieZehirNano is developed by Maani, a model with 1.8b 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 PixieZehirNano?

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

PixieZehirNano by Maani — VRAM 3.7GB, 16K context

Name: PixieZehirNano
Author: Maani

PixieZehirNano is an open-source language model by Maani. Features: 1.8b LLM, VRAM: 3.7GB, Context: 16K, License: apache-2.0, LLM Explorer Score: 0.11.

Autotrain compatible Conversational En Endpoints compatible Es Fa Fr Hi Llama Region:us Safetensors Th

Model Card on HF 🤗: https://huggingface.co/Maani/PixieZehirNano

PixieZehirNano Parameters and Internals

LLM Name	PixieZehirNano
Repository 🤗	https://huggingface.co/Maani/PixieZehirNano
Model Size	1.8b
Required VRAM	3.7 GB
Updated	2024-09-27
Maintainer	Maani
Model Type	mistral
Model Files	3.7 GB
Supported Languages	en es
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	16384
Model Max Length	16384
Transformers Version	4.38.2
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the PixieZehirNano 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 PixieZehirNano

Best Alternatives	Context / RAM	Downloads	Likes
H2o Danube 1.8B Chat	16K / 3.7 GB	267	55
H2o Danube 1.8B Base	16K / 3.7 GB	132	43
Cypher Mini 1.8B	16K / 3.7 GB	83	2
H2o Danube 1.8B Sft	16K / 3.7 GB	91	11
Cypher CoT 1.8B	16K / 3.7 GB	5	1
...1.8B Chat Sft Merge Fourier V1	16K / 7.3 GB	3	1
H2o Danube2 1.8B Base	8K / 3.7 GB	346	47
H2o Danube2 1.8B Chat	8K / 3.7 GB	222	62
H2o Danube2 1.8B Sft	8K / 3.7 GB	109	6
Binary Clumsy Bear	8K / 7.3 GB	5	0

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