What are the hardware requirements for Textgeneratorc2k?

Textgeneratorc2k requires approximately 59.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Textgeneratorc2k and how large is it?

Textgeneratorc2k is developed by bbin2022, a model with 31b 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 Textgeneratorc2k?

Textgeneratorc2k is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Textgeneratorc2k by bbin2022 — VRAM 59.1GB

Name: Textgeneratorc2k
Author: bbin2022

Textgeneratorc2k is an open-source language model by bbin2022. Features: 31b LLM, VRAM: 59.1GB, LLM Explorer Score: 0.32.

Arxiv:1511.06349 Bfloat16 Custom code De En Es Feature-extraction Fr Gemma-4 Ja Latent-variable-models Multilingual Region:us Safetensors Storygeneratorc2k Textgeneratorc2k Userneeds2k Zh

Model Card on HF 🤗: https://huggingface.co/bbin2022/textgeneratorc2k

Textgeneratorc2k Parameters and Internals

LLM Name	Textgeneratorc2k
Repository 🤗	https://huggingface.co/bbin2022/textgeneratorc2k
Base Model(s)	google/gemma-4-31b-it google/gemma-4-31b-it
Model Size	31b
Required VRAM	59.1 GB
Updated	2026-10-21
Maintainer	bbin2022
Model Type	textgeneratorc2k
Model Files	59.1 GB
Supported Languages	en zh de es fr ja
Model Architecture	TextGeneratorC2KForCausalLM
Torch Data Type	bfloat16

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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