What are the hardware requirements for TL OWM CLM SFT?

TL OWM CLM SFT requires approximately 2.2 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed TL OWM CLM SFT and how large is it?

TL OWM CLM SFT is developed by Sayan01, a model with 1.1b 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 TL OWM CLM SFT?

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

TL OWM CLM SFT by Sayan01 — VRAM 2.2GB, 2K context

Name: TL OWM CLM SFT
Author: Sayan01

TL OWM CLM SFT is an open-source language model by Sayan01. Features: 1.1b LLM, VRAM: 2.2GB, Context: 2K, LLM Explorer Score: 0.18.

Arxiv:1910.09700 Conversational Endpoints compatible Llama Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/Sayan01/TL-OWM-CLM-SFT

TL OWM CLM SFT Parameters and Internals

LLM Name	TL OWM CLM SFT
Repository 🤗	https://huggingface.co/Sayan01/TL-OWM-CLM-SFT
Model Size	1.1b
Required VRAM	2.2 GB
Updated	2026-07-30
Maintainer	Sayan01
Model Type	llama
Model Files	2.2 GB
Model Architecture	LlamaForCausalLM
Context Length	2048
Model Max Length	2048
Transformers Version	4.50.0
Tokenizer Class	LlamaTokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	32064
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

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