What are the hardware requirements for Telescopium Acyclic Qwen3 0.6B?

Telescopium Acyclic Qwen3 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 Telescopium Acyclic Qwen3 0.6B and how large is it?

Telescopium Acyclic Qwen3 0.6B is developed by prithivMLmods, 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 Telescopium Acyclic Qwen3 0.6B?

Telescopium Acyclic Qwen3 0.6B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Telescopium Acyclic Qwen3 0.6B by prithivMLmods — VRAM 1.2GB, 40K context

Name: Telescopium Acyclic Qwen3 0.6B
Author: prithivMLmods

Telescopium Acyclic Qwen3 0.6B is an open-source language model by prithivMLmods. Features: 0.6b LLM, VRAM: 1.2GB, Context: 40K, License: apache-2.0, LLM Explorer Score: 0.18.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-0.6b Code Conversational Dag En Endpoints compatible Gspo Math Qwen3 Region:us Safetensors Trl

Model Card on HF 🤗: https://huggingface.co/prithivMLmods/Telescopium-Acyclic-Qwen3-0.6B

Telescopium Acyclic Qwen3 0.6B Parameters and Internals

LLM Name	Telescopium Acyclic Qwen3 0.6B
Repository 🤗	https://huggingface.co/prithivMLmods/Telescopium-Acyclic-Qwen3-0.6B
Base Model(s)	Qwen/Qwen3-0.6B Qwen/Qwen3-0.6B
Model Size	0.6b
Required VRAM	1.2 GB
Updated	2026-08-02
Maintainer	prithivMLmods
Model Type	qwen3
Model Files	1.2 GB
Supported Languages	en
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	40960
Model Max Length	40960
Transformers Version	4.55.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Vocabulary Size	151936
Torch Data Type	float16
Errors	replace

Rank the Telescopium Acyclic Qwen3 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 Telescopium Acyclic Qwen3 0.6B

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 Emoji Gif	40K / 1.2 GB	380	1
Qwen3 0.6B PII Distillops	40K / 1.2 GB	174	1
Qwen3 0.6B RSI Iter1	40K / 1.2 GB	289	2
Ofcen CHRU V1.1	40K / 1.2 GB	214	1
Qwen3 0.6B	40K / 1.5 GB	1364597	1
Qwen3 0.6B Tools	40K / 1.2 GB	2679	1
Qwen3 0.6B FP8	40K / 1.1 GB	1581403	62
E2etext T1edu1 T1	40K / 1.2 GB	995	1

Note: green Score (e.g. "73.2") means that the model is better than prithivMLmods/Telescopium-Acyclic-Qwen3-0.6B.