What are the hardware requirements for TR CPT1?

TR CPT1 requires approximately 2.5 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 TR CPT1 and how large is it?

TR CPT1 is developed by Ba2han, a model with 1.3b 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 TR CPT1?

TR CPT1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

TR CPT1 by Ba2han — VRAM 2.5GB, 16K context

Name: TR CPT1
Author: Ba2han

TR CPT1 is an open-source language model by Ba2han. Features: 1.3b LLM, VRAM: 2.5GB, Context: 16K, LLM Explorer Score: 0.29.

Base model:ba2han/outputs Base model:finetune:ba2han/out... Endpoints compatible Generated from trainer Qwen3 Region:us Safetensors Sft Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/Ba2han/TR_CPT1

TR CPT1 Parameters and Internals

LLM Name	TR CPT1
Repository 🤗	https://huggingface.co/Ba2han/TR_CPT1
Model Name	Ba2han/outputs
Base Model(s)	Outputs Ba2han/outputs
Model Size	1.3b
Required VRAM	2.5 GB
Updated	2026-08-17
Maintainer	Ba2han
Model Type	qwen3
Model Files	2.5 GB 0.0 GB
Model Architecture	Qwen3ForCausalLM
Context Length	16384
Model Max Length	16384
Transformers Version	5.5.0
Tokenizer Class	TokenizersBackend
Padding Token	<pad>
Vocabulary Size	60800

Rank the TR CPT1 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 TR CPT1

Best Alternatives	Context / RAM	Downloads	Likes
Outputs	16K / 2.5 GB	667	2