What are the hardware requirements for MO MODEL1 V1 LLaMa 70B?

MO MODEL1 V1 LLaMa 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 MO MODEL1 V1 LLaMa 70B and how large is it?

MO MODEL1 V1 LLaMa 70B is developed by TareksLab, 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 MO MODEL1 V1 LLaMa 70B?

MO MODEL1 V1 LLaMa 70B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

MO MODEL1 V1 LLaMa 70B by TareksLab — VRAM 141.9GB, 128K context

Name: MO MODEL1 V1 LLaMa 70B
Author: TareksLab

MO MODEL1 V1 LLaMa 70B is an open-source language model by TareksLab. Features: 70b LLM, VRAM: 141.9GB, Context: 128K, Instruction-Based, Merged, LLM Explorer Score: 0.18.

Merged Model Arxiv:2403.19522 Autotrain compatible Base model:allenai/llama-3.1-t... Base model:huihui-ai/llama-3.3... Base model:nousresearch/hermes... Base model:nvidia/llama-3.1-ne... Base model:pankajmathur/orca m... Base model:tenyx/llama3-tenyxc... Conversational Endpoints compatible Instruct Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/TareksGraveyard/MO-MODEL1-V1-LLaMa-70B

MO MODEL1 V1 LLaMa 70B Parameters and Internals

LLM Name	MO MODEL1 V1 LLaMa 70B
Repository 🤗	https://huggingface.co/TareksGraveyard/MO-MODEL1-V1-LLaMa-70B
Base Model(s)	Orca Mini V8 1 70b huihui-ai/Llama-3.3-70B-Instruct-abliterated nvidia/Llama-3.1-Nemotron-70B-Instruct-HF allenai/Llama-3.1-Tulu-3-70B Llama3 TenyxChat 70B NousResearch/Hermes-3-Llama-3.1-70B pankajmathur/orca_mini_v8_1_70b huihui-ai/Llama-3.3-70B-Instruct-abliterated nvidia/Llama-3.1-Nemotron-70B-Instruct-HF allenai/Llama-3.1-Tulu-3-70B tenyx/Llama3-TenyxChat-70B NousResearch/Hermes-3-Llama-3.1-70B
Merged Model	Yes
Model Size	70b
Required VRAM	141.9 GB
Updated	2025-06-01
Maintainer	TareksLab
Model Type	llama
Instruction-Based	Yes
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	4.51.3
Tokenizer Class	PreTrainedTokenizer
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128292
Torch Data Type	bfloat16

Rank the MO MODEL1 V1 LLaMa 70B 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 MO MODEL1 V1 LLaMa 70B

Best Alternatives	Context / RAM	Downloads	Likes
... Chat 1048K Chinese Llama3 70B	1024K / 141.9 GB	9069	5
... Chat 1048K Chinese Llama3 70B	1024K / 141.9 GB	7684	4
... 3 70B Instruct Gradient 1048K	1024K / 141.9 GB	22	122
Llama3 Function Calling 1048K	1024K / 141.9 GB	5	1
...a 3 70B Instruct Gradient 524K	512K / 141.9 GB	24	23
...a 3 70B Instruct Gradient 262K	256K / 141.9 GB	20	56
...ama 3 70B Arimas Story RP V2.0	256K / 141.1 GB	10	3
...ama 3 70B Arimas Story RP V1.6	256K / 141.2 GB	5	0
...ama 3 70B Arimas Story RP V1.5	256K / 141.2 GB	21	3
Llama 3.1 70B Instruct	128K / 141.9 GB	813492	938

Note: green Score (e.g. "73.2") means that the model is better than TareksGraveyard/MO-MODEL1-V1-LLaMa-70B.