What are the hardware requirements for Piaget 0.6B?

Piaget 0.6B requires approximately 1.2 GB of VRAM and supports a context window of 40K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Piaget 0.6B and how large is it?

Piaget 0.6B is developed by gustavecortal, 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 Piaget 0.6B?

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

Piaget 0.6B by gustavecortal — VRAM 1.2GB, 40K context

Name: Piaget 0.6B
Author: gustavecortal

Piaget 0.6B is an open-source language model by gustavecortal. Features: 0.6b LLM, VRAM: 1.2GB, Context: 40K, License: mit, LLM Explorer Score: 0.19.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-0.6b Conversational Dataset:cognitivecomputations/... Dataset:generalreasoning/gener... Dataset:gustavecortal/psycholo... Emotion En Philosophy Psychology Qwen3 Reasoning Region:us Safetensors Social

Model Card on HF 🤗: https://huggingface.co/gustavecortal/Piaget-0.6B

Piaget 0.6B Parameters and Internals

LLM Name	Piaget 0.6B
Repository 🤗	https://huggingface.co/gustavecortal/Piaget-0.6B
Base Model(s)	Qwen/Qwen3-0.6B Qwen/Qwen3-0.6B
Model Size	0.6b
Required VRAM	1.2 GB
Updated	2026-07-20
Maintainer	gustavecortal
Model Type	qwen3
Model Files	1.2 GB
Supported Languages	en
Model Architecture	Qwen3ForCausalLM
License	mit
Context Length	40960
Model Max Length	40960
Transformers Version	4.53.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|im_end\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Piaget 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 Piaget 0.6B

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3 Reranker 0.6B	40K / 1.2 GB	2508313	377
Privasis Cleaner 0.6B	40K / 1.2 GB	1171	18
Qwen3 0.6B FP8	40K / 1.1 GB	1581403	62
Privasis Cleaner 0.6B	40K / 1.2 GB	69	0
Qwen3 0.6B Sushi Code Expert	40K / 1.5 GB	40	0
Qwen 0.6B ConvFill	40K / 1.2 GB	106	0
Qwen3 0.6B	40K / 1.2 GB	99924	22
Palindrome Sft Qwen3	40K / 2.4 GB	141	0
Foggen	40K / 1.2 GB	35	5
Palindrome Sft V2 Qwen3	40K / 2.4 GB	81	0

Note: green Score (e.g. "73.2") means that the model is better than gustavecortal/Piaget-0.6B.