What are the hardware requirements for Tercet R 1.1?

Tercet R 1.1 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 1.1 and how large is it?

Tercet R 1.1 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 1.1?

Tercet R 1.1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Tercet R 1.1 by kerzgrr — VRAM 1GB, 32K context

Name: Tercet R 1.1
Author: kerzgrr

Tercet R 1.1 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: 0.31.

Base model:finetune:kerzgrr/te... Base model:kerzgrr/tercet-r-1.... Chat Conversational Dataset:agent-ark/toucan-1.5m Dataset:allenai/tulu-3-sft-per... Dataset:allenai/wildchat-4.8m Dataset:coherelabs/aya dataset Dataset:huggingfacefw/fineweb-... Dataset:huggingfacetb/smoltalk Dataset:huggingfacetb/smoltalk... Dataset:interstellarninja/herm... Dataset:nousresearch/hermes-3-... Dataset:nousresearch/hermes-fu... Dataset:nvidia/llama-nemotron-... Dataset:nvidia/nemotron-agenti... Dataset:nvidia/nemotron-cascad... Dataset:nvidia/nemotron-instru... Dataset:nvidia/nemotron-post-t... Dataset:nvidia/nemotron-sft-ag... Dataset:nvidia/nemotron-sft-in... 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-1.1

Tercet R 1.1 Parameters and Internals

LLM Name	Tercet R 1.1
Repository 🤗	https://huggingface.co/kerzgrr/Tercet-R-1.1
Model Name	Tercet-R-1.1
Base Model(s)	kerzgrr/Tercet-R-1.0 kerzgrr/Tercet-R-1.0
Model Size	501.6m
Required VRAM	1 GB
Updated	2026-09-07
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 1.1 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 Tercet R 1.1

Best Alternatives	Context / RAM	Downloads	Likes
Tercet R 1.0	32K / 1 GB	588	1
Tercet	32K / 1 GB	392	1

Note: green Score (e.g. "73.2") means that the model is better than kerzgrr/Tercet-R-1.1.