What are the hardware requirements for Deep Neural V1?

Deep Neural V1 requires approximately 27.7 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Deep Neural V1 and how large is it?

Deep Neural V1 is developed by adarshused, a model with 6.9b 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 Deep Neural V1?

Deep Neural V1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Deep Neural V1 by adarshused — VRAM 27.7GB, 4K context

Name: Deep Neural V1
Author: adarshused

Deep Neural V1 is an open-source language model by adarshused. Features: 6.9b LLM, VRAM: 27.7GB, Context: 4K, LLM Explorer Score: 0.17.

Autotrain compatible Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/adarshused/Deep-Neural-v1

Deep Neural V1 Parameters and Internals

LLM Name	Deep Neural V1
Repository 🤗	https://huggingface.co/adarshused/Deep-Neural-v1
Model Size	6.9b
Required VRAM	27.7 GB
Updated	2025-04-01
Maintainer	adarshused
Model Type	llama
Model Files	5.0 GB: 1-of-6 5.0 GB: 2-of-6 4.9 GB: 3-of-6 4.9 GB: 4-of-6 4.9 GB: 5-of-6 3.0 GB: 6-of-6
Model Architecture	LlamaForCausalLM
Context Length	4096
Model Max Length	4096
Transformers Version	4.50.0
Tokenizer Class	LlamaTokenizerFast
Padding Token	<｜end▁of▁sentence｜>
Vocabulary Size	102400
Torch Data Type	float32

Rank the Deep Neural V1 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 Deep Neural V1

Best Alternatives	Context / RAM	Downloads	Likes
Bolna Lead Qualification	16K / 13.8 GB	6	3
Sambanova Llama2 100	4K / 13.9 GB	5	0
Mymath Merged 01	4K / 13.9 GB	6	0
Gorilla Finetuned	4K / 13.8 GB	8	0
STP Model Lean 0320	4K / 13.8 GB	150	1
ProofSeeker V1	4K / 13.9 GB	25	0
...j Pair8 Ds Coder Rmsprop Iter4	4K / 13.9 GB	145	0
... Ds Coder Reflct Rmsprop Iter4	4K / 13.9 GB	105	0
...8 Ds Chat Reflct Rmsprop Iter2	4K / 13.9 GB	87	0
... Ds Coder Reflct Rmsprop Iter3	4K / 13.9 GB	70	0

Note: green Score (e.g. "73.2") means that the model is better than adarshused/Deep-Neural-v1.