What are the hardware requirements for Deva1 Pretrain?

Deva1 Pretrain requires approximately 14.4 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Deva1 Pretrain and how large is it?

Deva1 Pretrain is developed by SaurabhJ20, a model with 7b 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 Deva1 Pretrain?

Deva1 Pretrain is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Deva1 Pretrain by SaurabhJ20 — VRAM 14.4GB, 32K context

Name: Deva1 Pretrain
Author: SaurabhJ20

Deva1 Pretrain is an open-source language model by SaurabhJ20. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.2.

Axolotl Base model:finetune:mistral-co... Base model:mistral-community/m... Conversational Dataset:inferred facts storefl... Dataset:representation variati... Dataset:text chunks storeflow.... Endpoints compatible Generated from trainer Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/SaurabhJ20/deva1-pretrain

Deva1 Pretrain Parameters and Internals

LLM Name	Deva1 Pretrain
Repository 🤗	https://huggingface.co/SaurabhJ20/deva1-pretrain
Base Model(s)	alpindale/Mistral-7B-v0.2-hf alpindale/Mistral-7B-v0.2-hf
Model Size	7b
Required VRAM	14.4 GB
Updated	2026-08-05
Maintainer	SaurabhJ20
Model Type	mistral
Model Files	4.9 GB: 1-of-3 5.0 GB: 2-of-3 4.5 GB: 3-of-3 0.0 GB
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.55.0
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the Deva1 Pretrain 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 Deva1 Pretrain

Best Alternatives	Context / RAM	Downloads	Likes
...Nemo Instruct 2407 Abliterated	1000K / 24.5 GB	220	20
MegaBeam Mistral 7B 512K	512K / 14.4 GB	8470	54
SpydazWeb AI HumanAI RP	512K / 14.4 GB	16	1
SpydazWeb AI HumanAI 002	512K / 14.4 GB	18	1
...daz Web AI ChatML 512K Project	512K / 14.5 GB	12	0
MegaBeam Mistral 7B 300K	282K / 14.4 GB	3779	16
MegaBeam Mistral 7B 300K	282K / 14.4 GB	8018	17
Hebrew Mistral 7B 200K	256K / 30 GB	23	15
Astral 256K 7B	250K / 14.4 GB	9	0
Astral 256K 7B V2	250K / 14.4 GB	8	0

Note: green Score (e.g. "73.2") means that the model is better than SaurabhJ20/deva1-pretrain.