What are the hardware requirements for Egglet 2B LINEAR?

Egglet 2B LINEAR requires approximately 6.4 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Egglet 2B LINEAR and how large is it?

Egglet 2B LINEAR is developed by DreadPoor, a model with 2b 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 Egglet 2B LINEAR?

Egglet 2B LINEAR is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Egglet 2B LINEAR by DreadPoor — VRAM 6.4GB, 8K context

Name: Egglet 2B LINEAR
Author: DreadPoor

Egglet 2B LINEAR is an open-source language model by DreadPoor. Features: 2b LLM, VRAM: 6.4GB, Context: 8K, LLM Explorer Score: 0.17.

Arxiv:2203.05482 Autotrain compatible Base model:arnic/gemma-2-2b-it... Base model:benjamin/gemma2-2b-... Base model:bunnycore/gemma-2-2... Base model:ilyagusev/gemma-2-2... Base model:kweinmeister/gemma-... Base model:lmassaron/gemma-2-2... Base model:merge:arnic/gemma-2... Base model:merge:benjamin/gemm... Base model:merge:bunnycore/gem... Base model:merge:ilyagusev/gem... Base model:merge:kweinmeister/... Base model:merge:lmassaron/gem... Base model:merge:minchyeom/thi... Base model:merge:monsterapi/ge... Base model:merge:saisexperimen... Base model:merge:zli12321/prom... Base model:minchyeom/thinkerge... Base model:monsterapi/gemma-2-... Base model:saisexperiments/gem... Base model:zli12321/prometheus... Conversational Endpoints compatible Gemma2 Merge Mergekit Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/DreadPoor/Egglet-2B-LINEAR

Egglet 2B LINEAR Parameters and Internals

LLM Name	Egglet 2B LINEAR
Repository 🤗	https://huggingface.co/DreadPoor/Egglet-2B-LINEAR
Base Model(s)	GemmOwO 2B Gemma 2 2B It Dolly 15K Gemma 2 2B TitanFusion Gemma2 2B Distilled Math Gemma 2 2B It Abliterated Gemma 2 2B Norobots Gemma 2 2B It Chat Medicare Prometheus2 2B Gemma 2 2B It Grpo Gsm8k ThinkerGemma SaisExperiments/GemmOwO-2B kweinmeister/gemma-2-2b-it-dolly-15k bunnycore/Gemma-2-2b-TitanFusion benjamin/Gemma2-2B-Distilled-Math IlyaGusev/gemma-2-2b-it-abliterated monsterapi/gemma-2-2b-norobots Arnic/Gemma-2-2b-it-chat-medicare zli12321/prometheus2-2B lmassaron/gemma-2-2b-it-grpo-gsm8k minchyeom/ThinkerGemma
Model Size	2b
Required VRAM	6.4 GB
Updated	2025-04-11
Maintainer	DreadPoor
Model Type	gemma2
Model Files	5.0 GB: 1-of-2 1.4 GB: 2-of-2
Model Architecture	Gemma2ForCausalLM
Context Length	8192
Model Max Length	8192
Transformers Version	4.49.0
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000
Torch Data Type	bfloat16

Rank the Egglet 2B LINEAR 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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SJT 2B	128K / 5.2 GB	16	0
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...mma 2 2B Jpn It Finetuning Sft	8K / 5.2 GB	14	0
Gemma 2 2B It	8K / 5.2 GB	10	0
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Gemma 2 2B It	8K / 5.2 GB	18991	19
Gemma 2B It Gen Poem	8K / 5.2 GB	2	1
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Slm Gemma 2B Qa	8K / 5.2 GB	24	0

Note: green Score (e.g. "73.2") means that the model is better than DreadPoor/Egglet-2B-LINEAR.