What are the hardware requirements for Llama 3.2 1B Abliteratest SCE?

Llama 3.2 1B Abliteratest SCE 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 Abliteratest SCE and how large is it?

Llama 3.2 1B Abliteratest SCE is developed by NexesMess, 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 Abliteratest SCE?

Llama 3.2 1B Abliteratest SCE 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 Abliteratest SCE by NexesMess — VRAM 3GB, 128K context

Name: Llama 3.2 1B Abliteratest SCE
Author: NexesMess

Llama 3.2 1B Abliteratest SCE is an open-source language model by NexesMess. Features: 1b LLM, VRAM: 3GB, Context: 128K, Instruction-Based, Merged, LLM Explorer Score: 0.17.

Merged Model Arxiv:2408.07990 Base model:huihui-ai/llama-3.2... Base model:nexesenex/dolphin3.... Base model:nexesenex/pankajmat... Base model:prithivmlmods/bella... Conversational Endpoints compatible Instruct Llama Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/NexesMess/Llama_3.2_1b_Abliteratest_SCE

Llama 3.2 1B Abliteratest SCE Parameters and Internals

LLM Name	Llama 3.2 1b Abliteratest SCE
Repository 🤗	https://huggingface.co/NexesMess/Llama_3.2_1b_Abliteratest_SCE
Base Model(s)	Nexesenex/Dolphin3.0-Llama3.1-1B-abliterated prithivMLmods/Bellatrix-Tiny-1B-v3-abliterated huihui-ai/Llama-3.2-1B-Instruct-abliterated ... 6 1B Instruct Abliterated LPL Nexesenex/Dolphin3.0-Llama3.1-1B-abliterated prithivMLmods/Bellatrix-Tiny-1B-v3-abliterated huihui-ai/Llama-3.2-1B-Instruct-abliterated Nexesenex/pankajmathur_orca_mini_v9_6_1B-instruct-Abliterated-LPL
Merged Model	Yes
Model Size	1b
Required VRAM	3 GB
Updated	2026-08-03
Maintainer	NexesMess
Model Type	llama
Instruction-Based	Yes
Model Files	3.0 GB
Model Architecture	LlamaForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.49.0
Tokenizer Class	PreTrainedTokenizer
Padding Token	<\|eot_id\|>
Vocabulary Size	128260
Torch Data Type	bfloat16

Rank the Llama 3.2 1B Abliteratest SCE 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 Abliteratest SCE

Best Alternatives	Context / RAM	Downloads	Likes
Llama 3.2 1B Instruct	128K / 2.5 GB	212072	100
Llama 3.2 1B Instruct	128K / 2.5 GB	10114634	1549
...1B Claude Opus Fable5 Thinking	128K / 2.2 GB	6165	166
LlaMa3.2 1B Instruct	128K / 4.9 GB	14	0
Llama3.2 1B CoT	128K / 2.5 GB	632	1
Llama 3.2 1B Instruct Bf16	128K / 2.5 GB	510	5
Llama 3.2 1B Instruct	128K / 2.5 GB	20	0
...Claude Opus Fable5 V2 Thinking	128K / 2.2 GB	288	4
Llama3.2 1B Manumit V1	128K / 2.5 GB	132	0
Llama 3.2 Mavrick.Spark 1B	128K / 2.5 GB	237	2

Note: green Score (e.g. "73.2") means that the model is better than NexesMess/Llama_3.2_1b_Abliteratest_SCE.