What are the hardware requirements for TrelisLM 100M Layer Hidden Pruned?

TrelisLM 100M Layer Hidden Pruned requires approximately 0.2 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed TrelisLM 100M Layer Hidden Pruned and how large is it?

TrelisLM 100M Layer Hidden Pruned is developed by Trelis, a model with 100m 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 TrelisLM 100M Layer Hidden Pruned?

TrelisLM 100M Layer Hidden Pruned is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

TrelisLM 100M Layer Hidden Pruned by Trelis — VRAM 0.2GB, 2K context

Name: TrelisLM 100M Layer Hidden Pruned
Author: Trelis

TrelisLM 100M Layer Hidden Pruned is an open-source language model by Trelis. Features: 100m LLM, VRAM: 0.2GB, Context: 2K, LLM Explorer Score: 0.15.

Arxiv:1910.09700 Autotrain compatible Endpoints compatible Llama Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/Trelis/TrelisLM-100M-layer-hidden-pruned

TrelisLM 100M Layer Hidden Pruned Parameters and Internals

LLM Name	TrelisLM 100M Layer Hidden Pruned
Repository 🤗	https://huggingface.co/Trelis/TrelisLM-100M-layer-hidden-pruned
Model Size	100m
Required VRAM	0.2 GB
Updated	2024-09-18
Maintainer	Trelis
Model Type	llama
Model Files	0.2 GB
Model Architecture	LlamaForCausalLM
Context Length	2048
Model Max Length	2048
Transformers Version	4.44.2
Tokenizer Class	GPT2Tokenizer
Vocabulary Size	49152
Torch Data Type	bfloat16

Rank the TrelisLM 100M Layer Hidden Pruned 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 Trelis/TrelisLM-100M-layer-hidden-pruned.