What are the hardware requirements for 70B SOG Unstructed?

70B SOG Unstructed 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 Unstructed and how large is it?

70B SOG Unstructed 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 Unstructed?

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

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

Name: 70B SOG Unstructed
Author: schonsense

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

Merged Model Arxiv:2406.11617 Autotrain compatible Base model:meta-llama/llama-3.... Base model:meta-llama/llama-3.... Base model:schonsense/70b unst... Base model:schonsense/sog 10k ... Conversational Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

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

70B SOG Unstructed Parameters and Internals

LLM Name	70B SOG Unstructed
Repository 🤗	https://huggingface.co/schonsense/70B_SOG_unstructed
Base Model(s)	SOG 10k 70B meta-llama/Llama-3.1-70B meta-llama/Llama-3.3-70B-Instruct 70B UnstructWR schonsense/SOG_10k_70B meta-llama/Llama-3.1-70B meta-llama/Llama-3.3-70B-Instruct schonsense/70B_unstructWR
Merged Model	Yes
Model Size	70b
Required VRAM	141.9 GB
Updated	2025-07-10
Maintainer	schonsense
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	4.50.3
Tokenizer Class	PreTrainedTokenizer
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the 70B SOG Unstructed capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
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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
Yi 70B 200K RPMerge Franken	195K / 142.4 GB	8	1