What are the hardware requirements for Tc2?

Tc2 requires approximately 6.5 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Tc2 and how large is it?

Tc2 is developed by bralynn, a model with 3.2b 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 Tc2?

Tc2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Tc2 by bralynn — VRAM 6.5GB, 128K context

Name: Tc2
Author: bralynn

Tc2 is an open-source language model by bralynn. Features: 3.2b LLM, VRAM: 6.5GB, Context: 128K, LLM Explorer Score: 0.18.

Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/bralynn/tc2

Tc2 Parameters and Internals

LLM Name	Tc2
Repository 🤗	https://huggingface.co/bralynn/tc2
Model Size	3.2b
Required VRAM	6.5 GB
Updated	2025-09-23
Maintainer	bralynn
Model Type	llama
Model Files	5.0 GB: 1-of-2 1.5 GB: 2-of-2
Model Architecture	LlamaForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.52.4
Tokenizer Class	PreTrainedTokenizer
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
Torch Data Type	float16

Rank the Tc2 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 Tc2

Best Alternatives	Context / RAM	Downloads
Rs44	128K / 6.5 GB	582
Llama3.2 Resized	128K / 6.5 GB	5
BG58	128K / 6.5 GB	8
Xddd	128K / 6.5 GB	6
ColdBrew Oracle	128K / 6.5 GB	5
ISLEXITAS WEL SHREE 02 12 24	128K / 6.5 GB	15
Testing V01	128K / 6.5 GB	20
... 4plus Flexible Ordering.00.00	8K / 6.5 GB	6
... 4plus Flexible Ordering.00.01	8K / 6.5 GB	6
Q448	128K / 6.5 GB	12