What are the hardware requirements for RLAIF V 7B?

RLAIF V 7B requires approximately 14.1 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 RLAIF V 7B and how large is it?

RLAIF V 7B is developed by openbmb, 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 RLAIF V 7B?

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

RLAIF V 7B by openbmb — VRAM 14.1GB, 4K context

Name: RLAIF V 7B
Author: openbmb

RLAIF V 7B is an open-source language model by openbmb. Features: 7b LLM, VRAM: 14.1GB, Context: 4K, License: apache-2.0, LLM Explorer Score: 0.12.

Arxiv:2312.00849 Arxiv:2405.17220 Dataset:openbmb/rlaif-v-datase... En Endpoints compatible Llava llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/openbmb/RLAIF-V-7B

RLAIF V 7B Parameters and Internals

Model Type

text generation, alignment with human feedback

Use Cases

Areas:

AI alignment, Trustworthiness improvement

Additional Notes

Aligned with human preferences using large-scale AI feedback for improved trustworthiness.

Supported Languages

en (English)

Training Details

Data Sources:

openbmb/RLAIF-V-Dataset

Methodology:

RLAIF-V framework utilizing AI feedback for human preference alignment.

Model Architecture:

Derived from LLaVA 1.5 7B.

LLM Name	RLAIF V 7B
Repository 🤗	https://huggingface.co/openbmb/RLAIF-V-7B
Model Size	7b
Required VRAM	14.1 GB
Updated	2026-07-18
Maintainer	openbmb
Model Type	llava_llama
Model Files	4.9 GB: 1-of-3 5.0 GB: 2-of-3 4.2 GB: 3-of-3 0.0 GB 0.0 GB
Supported Languages	en
Model Architecture	LlavaLlamaForCausalLM
License	apache-2.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.35.0
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the RLAIF V 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 RLAIF V 7B

Best Alternatives	Context / RAM	Downloads	Likes
Llava Merged Finetuned 7b	32K / 15.1 GB	1	1
Llava V1.6 Mistral 7B PATCHED	32K / 15.1 GB	17	8
KoLLaVA V1.5 Synatra 7B	32K / 15.1 GB	13	8
Llava V1.5 7B	4K / 13.5 GB	219094	557
Llava V1.6 Vicuna 7B	4K / 14.1 GB	19939	144
...va 1.5 Image Classification V3	4K / 23.3 GB	224	0
Vlm Rlaif Video Llava 7b	4K / 14.2 GB	6	0
Table Llava V1.5 7B	4K / 14.2 GB	9	13
Llava V1.5 7B M3	4K / 14.1 GB	93	2
Som Llava V1.5 7B	4K / 14.1 GB	5	0

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