What are the hardware requirements for Temper 2 Ion?

Temper 2 Ion requires approximately 1 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 Temper 2 Ion and how large is it?

Temper 2 Ion is developed by maylore-ai, a model with 0.5b 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 Temper 2 Ion?

Temper 2 Ion is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Temper 2 Ion by maylore-ai — VRAM 1GB, 32K context

Name: Temper 2 Ion
Author: maylore-ai

Temper 2 Ion is an open-source language model by maylore-ai. Features: 0.5b LLM, VRAM: 1GB, Context: 32K, License: apache-2.0, Instruction-Based, Code Generating, LLM Explorer Score: 0.31.

Arxiv:2107.03374 Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-coder-... Code Codegen Conversational En Endpoints compatible Instruct Qwen2 Region:us Ru Rust Safetensors

Model Card on HF 🤗: https://huggingface.co/maylore-ai/Temper-2-Ion

Temper 2 Ion Parameters and Internals

LLM Name	Temper 2 Ion
Repository 🤗	https://huggingface.co/maylore-ai/Temper-2-Ion
Base Model(s)	Qwen/Qwen2.5-Coder-0.5B-Instruct Qwen/Qwen2.5-Coder-0.5B-Instruct
Model Size	0.5b
Required VRAM	1 GB
Updated	2026-10-28
Maintainer	maylore-ai
Model Type	qwen2
Instruction-Based	Yes
Model Files	1.0 GB
Supported Languages	en ru
Generates Code	Yes
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	5.18.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Rank the Temper 2 Ion 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

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