What are the hardware requirements for Accel2?

Accel2 requires approximately 6.8 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Accel2 and how large is it?

Accel2 is developed by selinas, a model with 3b 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 Accel2?

Accel2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Accel2 by selinas — VRAM 6.8GB

Name: Accel2
Author: selinas

Accel2 is an open-source language model by selinas. Features: 3b LLM, VRAM: 6.8GB, LLM Explorer Score: 0.13.

Arxiv:1910.09700 Adapter Base model:adapter:openlm-rese... Base model:openlm-research/ope... Finetuned Llama Lora Optimum habana Peft Pytorch Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/selinas/Accel2

Accel2 Parameters and Internals

LLM Name	Accel2
Repository 🤗	https://huggingface.co/selinas/Accel2
Base Model(s)	Open Llama 3b V2 openlm-research/open_llama_3b_v2
Model Size	3b
Required VRAM	6.8 GB
Updated	2026-01-07
Maintainer	selinas
Model Files	0.0 GB 6.8 GB
Model Architecture	Adapter
Model Max Length	2048
Is Biased	none
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	v_proj\|q_proj
LoRA Alpha	16
LoRA Dropout	0.05
R Param	8

Rank the Accel2 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 Accel2

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...Mental Support Qwen2.5 3B Lora	0K / 0.1 GB	21	0
Qwen25 3B Korean Pii Qlora2	0K / 0.1 GB	12	0
Llama3 Code Lora	0K / 0.1 GB	13	2
...ma 3.2 3B Legal India Qlora V2	0K / 0.1 GB	84	0
Nomi 1.1	0K / 6.5 GB	6	3
Art Skynet 3B	0K / 6.5 GB	11	15
...ull Lr5e4 Peft Mlp 32 32 Bs256	0K / 0.7 GB	5	0
Xenith 3B	0K / 7.6 GB	2	2
Results	0K / 0.9 GB	15	0
Accel3	0K / 0 GB	5	0

Note: green Score (e.g. "73.2") means that the model is better than selinas/Accel2.