What are the hardware requirements for Llama 3.2 1B OrcaSun V1?

Llama 3.2 1B OrcaSun V1 requires approximately 3 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 OrcaSun V1 and how large is it?

Llama 3.2 1B OrcaSun V1 is developed by Nexesenex, 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 OrcaSun V1?

Llama 3.2 1B OrcaSun V1 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 OrcaSun V1 by Nexesenex — VRAM 3GB, 128K context

Name: Llama 3.2 1B OrcaSun V1
Author: Nexesenex

Llama 3.2 1B OrcaSun V1 is an open-source language model by Nexesenex. Features: 1b LLM, VRAM: 3GB, Context: 128K, License: llama3.2, Instruction-Based, Merged, LLM Explorer Score: 0.21.

Merged Model Base model:meditsolutions/llam... Base model:nexesenex/pankajmat... Conversational Endpoints compatible Instruct Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Nexesenex/Llama_3.2_1b_OrcaSun_V1

Llama 3.2 1B OrcaSun V1 Parameters and Internals

LLM Name	Llama 3.2 1b OrcaSun V1
Repository 🤗	https://huggingface.co/Nexesenex/Llama_3.2_1b_OrcaSun_V1
Base Model(s)	... 6 1B Instruct Abliterated LPL meditsolutions/Llama-3.2-SUN-1B-chat Nexesenex/pankajmathur_orca_mini_v9_6_1B-instruct-Abliterated-LPL meditsolutions/Llama-3.2-SUN-1B-chat
Merged Model	Yes
Model Size	1b
Required VRAM	3 GB
Updated	2026-08-07
Maintainer	Nexesenex
Model Type	llama
Instruction-Based	Yes
Model Files	0.5 GB: 1-of-4 1.0 GB: 2-of-4 1.0 GB: 3-of-4 0.5 GB: 4-of-4
Model Architecture	LlamaForCausalLM
License	llama3.2
Context Length	131072
Model Max Length	131072
Transformers Version	4.48.3
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Llama 3.2 1B OrcaSun V1 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 Llama 3.2 1B OrcaSun V1

Best Alternatives	Context / RAM	Downloads	Likes
Llama 3.2 1B Instruct	128K / 2.5 GB	212072	100
...1B Claude Opus Fable5 Thinking	128K / 2.2 GB	6165	166
Llama 3.2 1B Instruct	128K / 2.5 GB	10114634	1549
LlaMa3.2 1B Instruct	128K / 4.9 GB	14	0
Llama 3.2 1B Instruct Bf16	128K / 2.5 GB	510	5
Llama 3.2 1B Instruct	128K / 2.5 GB	20	0
Llama3.2 1B Manumit V1	128K / 2.5 GB	132	0
...Claude Opus Fable5 V2 Thinking	128K / 2.2 GB	288	4
Llama 3.2 Mavrick.Spark 1B	128K / 2.5 GB	258	2
Type O1 Mini Instruct	128K / 2.5 GB	232	0

Note: green Score (e.g. "73.2") means that the model is better than Nexesenex/Llama_3.2_1b_OrcaSun_V1.