What are the hardware requirements for Temper 1 0.5B?

Temper 1 0.5B 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 1 0.5B and how large is it?

Temper 1 0.5B is developed by temper-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 1 0.5B?

Temper 1 0.5B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Temper 1 0.5B by temper-ai — VRAM 1GB, 32K context

Name: Temper 1 0.5B
Author: temper-ai

Temper 1 0.5B is an open-source language model by temper-ai. Features: 0.5b LLM, VRAM: 1GB, Context: 32K, License: apache-2.0, Instruction-Based, Code Generating, LLM Explorer Score: 0.3.

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

Model Card on HF 🤗: https://huggingface.co/temper-ai/Temper-1-0.5B

Temper 1 0.5B Parameters and Internals

LLM Name	Temper 1 0.5B
Repository 🤗	https://huggingface.co/temper-ai/Temper-1-0.5B
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	2026-10-12
Maintainer	temper-ai
Model Type	qwen2
Instruction-Based	Yes
Model Files	1.0 GB
Supported Languages	en
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 1 0.5B 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

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