What are the hardware requirements for HYZ 01 0.6B Base?

HYZ 01 0.6B Base 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 HYZ 01 0.6B Base and how large is it?

HYZ 01 0.6B Base is developed by neuroturk, 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 HYZ 01 0.6B Base?

HYZ 01 0.6B Base is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

HYZ 01 0.6B Base by neuroturk — VRAM 1.2GB, 32K context

Name: HYZ 01 0.6B Base
Author: neuroturk

HYZ 01 0.6B Base is an open-source language model by neuroturk. Features: 0.6b LLM, VRAM: 1.2GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.23.

4-bit-precision Base-model Conversational Cpt En Endpoints compatible Gguf Hyz01 Neuroturk Pytorch Quantized Qwen3 Region:us Safetensors Tr Turkish Turkish-llm Turkish-nlp

Model Card on HF 🤗: https://huggingface.co/neuroturk/HYZ-01-0.6B-Base

HYZ 01 0.6B Base Parameters and Internals

LLM Name	HYZ 01 0.6B Base
Repository 🤗	https://huggingface.co/neuroturk/HYZ-01-0.6B-Base
Model Name	HYZ-01-0.6B-Base
Model Size	0.6b
Required VRAM	1.2 GB
Updated	2026-08-08
Maintainer	neuroturk
Model Type	qwen3
Model Files	1.2 GB
Supported Languages	tr en
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Tokenizer Class	TokenizersBackend
Padding Token	<\|vision_pad\|>
Vocabulary Size	151689
Torch Data Type	bfloat16
Errors	replace

Rank the HYZ 01 0.6B Base capabilities

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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 HYZ 01 0.6B Base

Best Alternatives	Context / RAM	Downloads	Likes
S1 Mini	40K / 1.5 GB	1136	180
Qwen3 Reranker 0.6B	40K / 1.2 GB	2508313	377
Voho Saudi Speak 0.6B	40K / 1.2 GB	249	0
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
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 neuroturk/HYZ-01-0.6B-Base.