What are the hardware requirements for Apollo 7B?

Apollo 7B requires approximately 15.2 GB of VRAM and supports a context window of 986K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Apollo 7B and how large is it?

Apollo 7B is developed by rootxhacker, 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 7B?

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

Apollo 7B by rootxhacker — VRAM 15.2GB, 986K context

Name: Apollo 7B
Author: rootxhacker

Apollo 7B is an open-source language model by rootxhacker. Features: 7b LLM, VRAM: 15.2GB, Context: 986K, License: mit, Instruction-Based, Merged, LLM Explorer Score: 0.2.

Merged Model Arxiv:2306.01708 Base model:deepseek-ai/deepsee... Base model:qwen/qwen2.5-7b-ins... Conversational En Endpoints compatible Instruct Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/rootxhacker/apollo-7B

Apollo 7B Parameters and Internals

LLM Name	Apollo 7B
Repository 🤗	https://huggingface.co/rootxhacker/apollo-7B
Base Model(s)	Qwen/Qwen2.5-7B-Instruct-1M DeepSeek R1 Distill Qwen 7B Qwen/Qwen2.5-7B-Instruct-1M deepseek-ai/DeepSeek-R1-Distill-Qwen-7B
Merged Model	Yes
Model Size	7b
Required VRAM	15.2 GB
Updated	2026-06-30
Maintainer	rootxhacker
Model Type	qwen2
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-4 4.9 GB: 2-of-4 5.0 GB: 3-of-4 0.3 GB: 4-of-4
Supported Languages	en
Model Architecture	Qwen2ForCausalLM
License	mit
Context Length	1010000
Model Max Length	1010000
Transformers Version	4.48.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	float16
Errors	replace

Rank the Apollo 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 7B

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 7B Instruct 1M	986K / 15.4 GB	52534	373
Rewnozom	986K / 30.5 GB	742	1
Hush Qwen2.5 7B RP V1.4 1M	986K / 15.2 GB	10	2
Qwen2.5 7B RRP 1M	986K / 15.2 GB	5	6
Qwen2.5 7B CelestialHarmony 1M	986K / 14.8 GB	8	7
Q2.5 Instruct 1M Harmony	986K / 15.2 GB	4	2
Impish QWEN 7B 1M	986K / 15.2 GB	4	6
COCO 7B Instruct 1M	986K / 15.2 GB	9	4
Graph R1 7B	986K / 15.3 GB	7	3
Qwen2.5 7B Sky R1 Mini	986K / 15.2 GB	6	0

Note: green Score (e.g. "73.2") means that the model is better than rootxhacker/apollo-7B.