What are the hardware requirements for OCC RAG 0.6B?

OCC RAG 0.6B requires approximately 1.2 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 OCC RAG 0.6B and how large is it?

OCC RAG 0.6B is developed by occ-ai, a model with 0.6b 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 OCC RAG 0.6B?

OCC RAG 0.6B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

OCC RAG 0.6B by occ-ai — VRAM 1.2GB, 32K context

Name: OCC RAG 0.6B
Author: occ-ai

OCC RAG 0.6B is an open-source language model by occ-ai. Features: 0.6b LLM, VRAM: 1.2GB, Context: 32K, License: mit, LLM Explorer Score: 0.25.

Arxiv:2606.00683 Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-0.6b-bas... Conversational En Endpoints compatible Faithful-qa Occ Qwen3 Rag Region:us Ru Safetensors

Model Card on HF 🤗: https://huggingface.co/occ-ai/OCC-RAG-0.6B

OCC RAG 0.6B Parameters and Internals

LLM Name	OCC RAG 0.6B
Repository 🤗	https://huggingface.co/occ-ai/OCC-RAG-0.6B
Base Model(s)	Qwen/Qwen3-0.6B-Base Qwen/Qwen3-0.6B-Base
Model Size	0.6b
Required VRAM	1.2 GB
Updated	2026-07-20
Maintainer	occ-ai
Model Type	qwen3
Model Files	1.2 GB
Supported Languages	en ru
Model Architecture	Qwen3ForCausalLM
License	mit
Context Length	32768
Model Max Length	32768
Transformers Version	5.5.4
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Rank the OCC RAG 0.6B 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 OCC RAG 0.6B

Best Alternatives	Context / RAM	Downloads	Likes
S1 Mini	40K / 1.5 GB	1136	180
Qwen3 Reranker 0.6B	40K / 1.2 GB	2508313	377
RGOO Qwen3 0.6B	40K / GB	281	2
RGOO Qwen3 0.6B	40K / GB	334	1
Qwen3 0.6B Emoji Gif	40K / 1.2 GB	380	1
Creo Classify 0.6B	40K / 1.2 GB	327	1
Qwen3 0.6B	40K / 1.5 GB	1364597	1
Qwen3 0.6B Malevolent	40K / 1.2 GB	170	1
Qwen3 0.6B RSI Iter1	40K / 1.2 GB	289	2
Qwen3 0.6B PII Distillops	40K / 1.2 GB	174	1

Note: green Score (e.g. "73.2") means that the model is better than occ-ai/OCC-RAG-0.6B.