What are the hardware requirements for L3.3 Test Step2?

L3.3 Test Step2 requires approximately 141.9 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 L3.3 Test Step2 and how large is it?

L3.3 Test Step2 is developed by mergekit-community, a model with 70b 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 L3.3 Test Step2?

L3.3 Test Step2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

L3.3 Test Step2 by mergekit-community — VRAM 141.9GB, 128K context

Name: L3.3 Test Step2
Author: mergekit-community

L3.3 Test Step2 is an open-source language model by mergekit-community. Features: 70b LLM, VRAM: 141.9GB, Context: 128K, Merged, LLM Explorer Score: 0.16.

Merged Model Arxiv:2312.06795 Base model:arliai/llama-3.3-70... Base model:nohobby/abomination... Base model:sophosympatheia/new... Conversational Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mergekit-community/L3.3-Test-Step2

L3.3 Test Step2 Parameters and Internals

LLM Name	L3.3 Test Step2
Repository 🤗	https://huggingface.co/mergekit-community/L3.3-Test-Step2
Base Model(s)	AbominationSnowPig ArliAI/Llama-3.3-70B-ArliAI-RPMax-v1.4 mergekit-community/L3.3-Test-Step1 sophosympatheia/New-Dawn-Llama-3.1-70B-v1.1 Nohobby/AbominationSnowPig ArliAI/Llama-3.3-70B-ArliAI-RPMax-v1.4 mergekit-community/L3.3-Test-Step1 sophosympatheia/New-Dawn-Llama-3.1-70B-v1.1
Merged Model	Yes
Model Size	70b
Required VRAM	141.9 GB
Updated	2026-07-25
Maintainer	mergekit-community
Model Type	llama
Model Files	4.7 GB: 1-of-30 4.7 GB: 2-of-30 5.0 GB: 3-of-30 5.0 GB: 4-of-30 4.7 GB: 5-of-30 4.7 GB: 6-of-30 4.7 GB: 7-of-30 5.0 GB: 8-of-30 5.0 GB: 9-of-30 4.7 GB: 10-of-30 4.7 GB: 11-of-30 4.7 GB: 12-of-30 5.0 GB: 13-of-30 5.0 GB: 14-of-30 4.7 GB: 15-of-30 4.7 GB: 16-of-30 4.7 GB: 17-of-30 5.0 GB: 18-of-30 5.0 GB: 19-of-30 4.7 GB: 20-of-30 4.7 GB: 21-of-30 4.7 GB: 22-of-30 5.0 GB: 23-of-30 5.0 GB: 24-of-30 4.7 GB: 25-of-30 4.7 GB: 26-of-30 4.7 GB: 27-of-30 5.0 GB: 28-of-30 5.0 GB: 29-of-30 2.0 GB: 30-of-30
Model Architecture	LlamaForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.48.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

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Instruction Following and Task Automation
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