What are the hardware requirements for KSTU T Lite 2.1?

KSTU T Lite 2.1 requires approximately 16.4 GB of VRAM and supports a context window of 40K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed KSTU T Lite 2.1 and how large is it?

KSTU T Lite 2.1 is developed by Xalk07, a model with 8.2b 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 KSTU T Lite 2.1?

KSTU T Lite 2.1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

KSTU T Lite 2.1 by Xalk07 — VRAM 16.4GB, 40K context

Name: KSTU T Lite 2.1
Author: Xalk07

KSTU T Lite 2.1 is an open-source language model by Xalk07. Features: 8.2b LLM, VRAM: 16.4GB, Context: 40K, License: apache-2.0, LLM Explorer Score: 0.31.

Base model:finetune:t-tech/t-l... Base model:t-tech/t-lite-it-2.... Conversational En Endpoints compatible Qwen3 Region:us Ru Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Xalk07/KSTU_T-lite-2.1

KSTU T Lite 2.1 Parameters and Internals

LLM Name	KSTU T Lite 2.1
Repository 🤗	https://huggingface.co/Xalk07/KSTU_T-lite-2.1
Base Model(s)	t-tech/T-lite-it-2.1 t-tech/T-lite-it-2.1
Model Size	8.2b
Required VRAM	16.4 GB
Updated	2026-09-04
Maintainer	Xalk07
Model Type	qwen3
Model Files	4.9 GB: 1-of-4 4.9 GB: 2-of-4 5.0 GB: 3-of-4 1.6 GB: 4-of-4
Supported Languages	ru en
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	40960
Model Max Length	40960
Transformers Version	4.57.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151689
Errors	replace

Rank the KSTU T Lite 2.1 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 KSTU T Lite 2.1

Best Alternatives	Context / RAM	Downloads	Likes
...nical Understanding Model V2.1	128K / 16.4 GB	9	0
...en 3 Panda Agi 3.3 DPO 8epochs	80K / 16.4 GB	71	0
Intern S1 Mini Lm	64K / 16.4 GB	307	0
Ice AI	40K / 16.4 GB	857	5
Diallm Qwen Sft Aus	40K / 16.4 GB	46	0
Diallm Qwen Sft Brit	40K / 16.4 GB	36	0
Diallm Qwen Sft All	40K / 16.4 GB	7	0
Diallm Qwen Sft Ind	40K / 16.4 GB	5	0
S V3 1ep	40K / 16.4 GB	5	0
...wen Hook Layer 9 Posneg Merged	40K / 16.4 GB	42	0

Note: green Score (e.g. "73.2") means that the model is better than Xalk07/KSTU_T-lite-2.1.