What are the hardware requirements for Apollo V1 7B?

Apollo V1 7B requires approximately 0.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Apollo V1 7B and how large is it?

Apollo V1 7B is developed by vanta-research, 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 Apollo V1 7B?

Apollo V1 7B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Apollo V1 7B by vanta-research — VRAM 0.2GB

Name: Apollo V1 7B
Author: vanta-research

Apollo V1 7B is an open-source language model by vanta-research. Features: 7b LLM, VRAM: 0.2GB, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.19.

Adapter Ai-alignment Ai-alignment-research Ai-behavior Ai-behavior-research Ai-research Apollo Base model:finetune:mistralai/... Base model:mistralai/mistral-7... Chat Cognitive-architectures Collaborative Conversational Conversational-ai Doi:10.57967/hf/6565 En Finetuned Frontier Instruct Legal-analysis Logical-reasoning Lora Mathematical-reasoning Mistral Mistral-ai Peft Reasoning Region:us Safetensors Vanta-research

Model Card on HF 🤗: https://huggingface.co/vanta-research/apollo-v1-7b

Apollo V1 7B Parameters and Internals

LLM Name	Apollo V1 7B
Repository 🤗	https://huggingface.co/vanta-research/apollo-v1-7b
Model Name	Apollo V1 7B
Base Model(s)	mistralai/Mistral-7B-Instruct-v0.2 mistralai/Mistral-7B-Instruct-v0.2
Model Size	7b
Required VRAM	0.2 GB
Updated	2026-10-27
Maintainer	vanta-research
Instruction-Based	Yes
Model Files	0.2 GB
Supported Languages	en
Model Architecture	Adapter
License	apache-2.0
Is Biased	none
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	gate_proj\|q_proj\|v_proj\|o_proj\|k_proj\|up_proj\|down_proj
LoRA Alpha	32
LoRA Dropout	0.1
R Param	16

Rank the Apollo V1 7B 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 Apollo V1 7B

Best Alternatives	Context / RAM	Downloads	Likes
Fedquant Mistral 7B Lora	0K / 0 GB	22	1
Falcon3 7B Persian Lora	0K / 0.2 GB	22	2
...wen2.5 7B Grpo Screen 20261012	0K / 0.2 GB	19	1
Personality Interpretation Zh	0K / 0.3 GB	18	0
Pallade Idrico 7B	0K / 0.3 GB	26	1
Qwen2.5 7B Deal Lora	0K / 0.2 GB	12	1
Antcoder Planner 7B	0K / 0.3 GB	37	1
Vilaw Llm DPO	0K / 0.2 GB	17	2
Zduhac Cyber 7B V2	0K / 0 GB	8	1
Llama2 7B Qlora Guanaco	0K / 0.1 GB	11	1

Note: green Score (e.g. "73.2") means that the model is better than vanta-research/apollo-v1-7b.