What are the hardware requirements for Model2?

Model2 requires approximately 16.1 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 Model2 and how large is it?

Model2 is developed by NerooChan. 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 Model2?

Model2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Model2 by NerooChan — VRAM 16.1GB, 8K context

Name: Model2
Author: NerooChan

Model2 is an open-source language model by NerooChan. Features: LLM, VRAM: 16.1GB, Context: 8K, License: apache-2.0, LLM Explorer Score: 0.16.

En Endpoints compatible Llama Pytorch Region:us Sft Sharded Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/NerooChan/model2

Model2 Parameters and Internals

LLM Name	Model2
Repository 🤗	https://huggingface.co/NerooChan/model2
Base Model(s)	NerooChan/model3 NerooChan/model3
Required VRAM	16.1 GB
Updated	2026-08-03
Maintainer	NerooChan
Model Type	llama
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 4.9 GB: 3-of-4 1.2 GB: 4-of-4
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	8192
Model Max Length	8192
Transformers Version	4.47.0
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|reserved_special_token_250\|>
Vocabulary Size	128256
Torch Data Type	float16

Rank the Model2 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 Model2

Best Alternatives	Context / RAM	Downloads	Likes
LWM Text 512K	512K / 13.5 GB	13	2
LWM Text Chat 512K	512K / 13.5 GB	9	2
LWM Text Chat 256K	256K / 13.5 GB	10	3
LWM Text 256K	256K / 13.5 GB	5	3
Pallas 0.5 LASER 0.1	195K / 68.9 GB	52	2
SnorTTS Indic V0	128K / 9.5 GB	518	22
Orpheus AUS	128K / GB	18	0
Finetuning Health Ci	128K / 6.5 GB	23	2
Ukr Synth Phi 3.5	128K / 7.6 GB	9	0
WizardLM Phi 3.5	128K / 7.6 GB	8	0

Note: green Score (e.g. "73.2") means that the model is better than NerooChan/model2.