What are the hardware requirements for 70B SOG MMv2 Ft?

70B SOG MMv2 Ft 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 70B SOG MMv2 Ft and how large is it?

70B SOG MMv2 Ft is developed by schonsense, 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 70B SOG MMv2 Ft?

70B SOG MMv2 Ft is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

70B SOG MMv2 Ft by schonsense — VRAM 141.9GB, 128K context

Name: 70B SOG MMv2 Ft
Author: schonsense

70B SOG MMv2 Ft is an open-source language model by schonsense. Features: 70b LLM, VRAM: 141.9GB, Context: 128K, LLM Explorer Score: 0.18.

Base model:finetune:schonsense... Base model:schonsense/70b sog ... Dataset:charliedreemur/openman... Llama Lora Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/schonsense/70B_SOG_MMv2_ft

70B SOG MMv2 Ft Parameters and Internals

LLM Name	70B SOG MMv2 Ft
Repository 🤗	https://huggingface.co/schonsense/70B_SOG_MMv2_ft
Base Model(s)	schonsense/70B_SOG_MMSLERPV2 schonsense/70B_lora_test schonsense/70B_SOG_MMSLERPV2 schonsense/70B_lora_test
Model Size	70b
Required VRAM	141.9 GB
Updated	2025-07-24
Maintainer	schonsense
Model Type	llama
Model Files	4.6 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 2.1 GB: 30-of-30
Model Architecture	LlamaForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.50.3
Tokenizer Class	PreTrainedTokenizer
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
LoRA Model	Yes
Torch Data Type	bfloat16

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Instruction Following and Task Automation
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