What are the hardware requirements for Augmented 742390f2f148b999?

Augmented 742390f2f148b999 requires approximately 0.7 GB of VRAM and supports a context window of 125K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Augmented 742390f2f148b999 and how large is it?

Augmented 742390f2f148b999 is developed by cwaud, a model with 354.5m 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 Augmented 742390f2f148b999?

Augmented 742390f2f148b999 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Augmented 742390f2f148b999 by cwaud — VRAM 0.7GB, 125K context

Name: Augmented 742390f2f148b999
Author: cwaud

Augmented 742390f2f148b999 is an open-source language model by cwaud. Features: 354.5m LLM, VRAM: 0.7GB, Context: 125K, LLM Explorer Score: 0.32.

Arxiv:1910.09700 Conversational Endpoints compatible Lfm2 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/cwaud/augmented-742390f2f148b999

Augmented 742390f2f148b999 Parameters and Internals

LLM Name	Augmented 742390f2f148b999
Repository 🤗	https://huggingface.co/cwaud/augmented-742390f2f148b999
Model Size	354.5m
Required VRAM	0.7 GB
Updated	2026-10-30
Maintainer	cwaud
Model Type	lfm2
Model Files	0.7 GB
Model Architecture	Lfm2ForCausalLM
Context Length	128000
Model Max Length	128000
Transformers Version	5.12.1
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|pad\|>
Vocabulary Size	65536

Rank the Augmented 742390f2f148b999 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

Best Alternatives to Augmented 742390f2f148b999

Best Alternatives	Context / RAM	Downloads	Likes
Summary 0.1	125K / 0.7 GB	387	0