What are the hardware requirements for Base Noreasoning?

Base Noreasoning 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 Base Noreasoning and how large is it?

Base Noreasoning is developed by cyberbabooshka, 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.

How does Base Noreasoning perform on standard benchmarks?

Base Noreasoning has the following published scores: LMSYS ELO 1431. Compare against reference models on this page or on the LLM Explorer leaderboards.

Base Noreasoning by cyberbabooshka — VRAM 1.2GB, 32K context

Name: Base Noreasoning
Author: cyberbabooshka

Base Noreasoning is an open-source language model by cyberbabooshka. Features: 0.6b LLM, VRAM: 1.2GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.32, ELO: 1431.

Axolotl Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-0.6b-bas... Conversational Dataset:cyberbabooshka/mnlp m2... Endpoints compatible Generated from trainer Qwen3 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/cyberbabooshka/base_noreasoning

Base Noreasoning Benchmarks

LMSys ELO 1431 vs 1272 (so35) 12.5%

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Base Noreasoning Parameters and Internals

LLM Name	Base Noreasoning
Repository 🤗	https://huggingface.co/cyberbabooshka/base_noreasoning
Base Model(s)	Qwen/Qwen3-0.6B-Base Qwen/Qwen3-0.6B-Base
Model Size	0.6b
Required VRAM	1.2 GB
Updated	2026-07-28
Maintainer	cyberbabooshka
Model Type	qwen3
Model Files	1.2 GB 0.0 GB
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.52.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Base Noreasoning 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 Base Noreasoning

Best Alternatives	Context / RAM	Downloads	Likes
S1 Mini	40K / 1.5 GB	1136	180
Qwen3 Reranker 0.6B	40K / 1.2 GB	2508313	377
Qwen3 0.6B JSON SFT	40K / 1.2 GB	428	1
RIFA Edge 0.6B	40K / 1.2 GB	581	0
Qwen3 0.6B FP8	40K / 1.1 GB	1581403	62
Meridian Ac Nano	40K / 1.2 GB	570	1
Qwen3 0.6B JSON SFT	40K / 1.2 GB	1676	0
Blake Haiku 1	40K / 1.2 GB	386	0
Tenorio 0.6B	40K / 1.2 GB	251	2
Quipu 0.6B	40K / 1.2 GB	351	4

Note: green Score (e.g. "73.2") means that the model is better than cyberbabooshka/base_noreasoning.