What are the hardware requirements for Ignore L3.x Monk 70B?

Ignore L3.x Monk 70B 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 Ignore L3.x Monk 70B and how large is it?

Ignore L3.x Monk 70B 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 Ignore L3.x Monk 70B?

Ignore L3.x Monk 70B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Ignore L3.x Monk 70B by mergekit-community — VRAM 141.9GB, 128K context

Name: Ignore L3.x Monk 70B
Author: mergekit-community

Ignore L3.x Monk 70B is an open-source language model by mergekit-community. Features: 70b LLM, VRAM: 141.9GB, Context: 128K, Merged, LLM Explorer Score: 0.18.

Merged Model Autotrain compatible Base model:nexesenex/llama 3.x... Base model:nvidia/llama-3.3-ne... Conversational Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mergekit-community/ignore_L3.x-Monk-70B

Ignore L3.x Monk 70B Parameters and Internals

LLM Name	Ignore L3.x Monk 70B
Repository 🤗	https://huggingface.co/mergekit-community/ignore_L3.x-Monk-70B
Base Model(s)	Nexesenex/Llama_3.x_70b_Hexagon_Blue_V1 nvidia/Llama-3.3-Nemotron-70B-Select Nexesenex/Llama_3.x_70b_Hexagon_Blue_V1 nvidia/Llama-3.3-Nemotron-70B-Select
Merged Model	Yes
Model Size	70b
Required VRAM	141.9 GB
Updated	2025-10-10
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	4.51.1
Tokenizer Class	PreTrainedTokenizer
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128265
Torch Data Type	bfloat16

Rank the Ignore L3.x Monk 70B 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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