What are the hardware requirements for Llama 3.2 1B Instruct Sum KTO 1K 1 1ep 4bit?

Llama 3.2 1B Instruct Sum KTO 1K 1 1ep 4bit requires approximately 2.5 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 Llama 3.2 1B Instruct Sum KTO 1K 1 1ep 4bit and how large is it?

Llama 3.2 1B Instruct Sum KTO 1K 1 1ep 4bit is developed by Muadil, a model with 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 Llama 3.2 1B Instruct Sum KTO 1K 1 1ep 4bit?

Llama 3.2 1B Instruct Sum KTO 1K 1 1ep 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3.2 1B Instruct Sum KTO 1K 1 1ep 4bit by Muadil — VRAM 2.5GB, 128K context

Name: Llama 3.2 1B Instruct Sum KTO 1K 1 1ep 4bit
Author: Muadil

Llama 3.2 1B Instruct Sum KTO 1K 1 1ep 4bit is an open-source language model by Muadil. Features: 1b LLM, VRAM: 2.5GB, Context: 128K, Quantized, Instruction-Based, LLM Explorer Score: 0.16.

Arxiv:1910.09700 4bit Conversational Endpoints compatible Instruct Llama Llama-factory Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Muadil/Llama-3.2-1B-Instruct_sum_KTO_1k_1_1ep_4bit

Llama 3.2 1B Instruct Sum KTO 1K 1 1ep 4bit Parameters and Internals

LLM Name	Llama 3.2 1B Instruct Sum KTO 1k 1 1ep 4bit
Repository 🤗	https://huggingface.co/Muadil/Llama-3.2-1B-Instruct_sum_KTO_1k_1_1ep_4bit
Model Size	1b
Required VRAM	2.5 GB
Updated	2026-07-11
Maintainer	Muadil
Model Type	llama
Instruction-Based	Yes
Model Files	2.0 GB: 1-of-2 0.5 GB: 2-of-2
Quantization Type	4bit
Model Architecture	LlamaForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.44.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|eot_id\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Llama 3.2 1B Instruct Sum KTO 1K 1 1ep 4bit 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

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... Fable5 V2 Thinking OptiQ 4bit	128K / 0.9 GB	1564	5
Llama 3 8B Legal Chatbot Id	128K / 2.5 GB	744	0
...lama 3.2 1B Legal Id Finetuned	128K / 2.5 GB	192	0
HRA Non Instruct Merged	128K / 2.5 GB	78	0
Llama3.2 1B HAREM	128K / 2.5 GB	411	0
Diqie123	128K / 2.5 GB	15	0
CodeNexus	128K / 2.5 GB	8	0
...2 1B Instruct Unsloth Bnb 4bit	128K / 1.1 GB	28470	4
Llama 3.2 1B Instruct 4bit	128K / 0.7 GB	49868	20
Llama 3.2 1B Instruct Bnb 4bit	128K / 1 GB	36333	22

Note: green Score (e.g. "73.2") means that the model is better than Muadil/Llama-3.2-1B-Instruct_sum_KTO_1k_1_1ep_4bit.