What are the hardware requirements for Tercet R 1.0?

Tercet R 1.0 requires approximately 1 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Tercet R 1.0 and how large is it?

Tercet R 1.0 is developed by kerzgrr, a model with 501.6m 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 Tercet R 1.0?

Tercet R 1.0 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Tercet R 1.0 by kerzgrr — VRAM 1GB, 32K context

Name: Tercet R 1.0
Author: kerzgrr

Tercet R 1.0 is an open-source language model by kerzgrr. Features: 501.6m LLM, VRAM: 1GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.33.

Base model:finetune:kerzgrr/te... Base model:kerzgrr/tercet-base Chat Conversational Dataset:allenai/tulu-3-sft-per... Dataset:coherelabs/aya dataset Dataset:huggingfacefw/fineweb-... Dataset:huggingfacetb/smoltalk Dataset:huggingfacetb/smoltalk... Dataset:nousresearch/hermes-fu... Dataset:nvidia/llama-nemotron-... Dataset:open-r1/mixture-of-tho... Dataset:open-thoughts/openthou... Dataset:salesforce/xlam-functi... Dataset:simplescaling/s1k-1.1 Dataset:teknium/openhermes-2.5 Dataset:thudm/longalign-10k En Gated-deltanet Gqa Hybrid Instruct Instruction-tuned Pytorch Reasoning Region:us Safetensors Sft Tercet Tiny gdn Tool-use

Model Card on HF 🤗: https://huggingface.co/kerzgrr/Tercet-R-1.0

Tercet R 1.0 Parameters and Internals

LLM Name	Tercet R 1.0
Repository 🤗	https://huggingface.co/kerzgrr/Tercet-R-1.0
Model Name	Tercet-R-1.0
Base Model(s)	Tercet Base kerzgrr/Tercet-base
Model Size	501.6m
Required VRAM	1 GB
Updated	2026-09-04
Maintainer	kerzgrr
Model Type	tiny_gdn
Instruction-Based	Yes
Model Files	1.0 GB
Supported Languages	en
Model Architecture	TinyGDNForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.45.0
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|padding\|>
Vocabulary Size	49152
Torch Data Type	bfloat16

Rank the Tercet R 1.0 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 Tercet R 1.0

Best Alternatives	Context / RAM	Downloads	Likes
Tercet	32K / 1 GB	392	1