What are the hardware requirements for L3.3 Prikol 70B V0.1a?

L3.3 Prikol 70B V0.1a 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 Prikol 70B V0.1a and how large is it?

L3.3 Prikol 70B V0.1a is developed by Nohobby, 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 Prikol 70B V0.1a?

L3.3 Prikol 70B V0.1a is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

L3.3 Prikol 70B V0.1a by Nohobby — VRAM 141.9GB, 128K context

Name: L3.3 Prikol 70B V0.1a
Author: Nohobby

L3.3 Prikol 70B V0.1a is an open-source language model by Nohobby. Features: 70b LLM, VRAM: 141.9GB, Context: 128K, Merged, LLM Explorer Score: 0.16.

Merged Model Arxiv:2406.11617 Base model:blackroot/mirai-3.0... Base model:eva-unit-01/eva-lla... Base model:sao10k/l3.3-70b-eur... Base model:thedrummer/anubis-7... Conversational Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Nohobby/L3.3-Prikol-70B-v0.1a

L3.3 Prikol 70B V0.1a Parameters and Internals

LLM Name	L3.3 Prikol 70B V0.1a
Repository 🤗	https://huggingface.co/Nohobby/L3.3-Prikol-70B-v0.1a
Base Model(s)	Anubis 70B V1 EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.0 Blackroot/Mirai-3.0-70B Sao10K/L3.3-70B-Euryale-v2.3 TheDrummer/Anubis-70B-v1 EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.0 Blackroot/Mirai-3.0-70B Sao10K/L3.3-70B-Euryale-v2.3
Merged Model	Yes
Model Size	70b
Required VRAM	141.9 GB
Updated	2026-08-03
Maintainer	Nohobby
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	4.47.1
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the L3.3 Prikol 70B V0.1a 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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