What are the hardware requirements for GLM 5.1 Qwen3 0.6B CoNDeNse?

GLM 5.1 Qwen3 0.6B CoNDeNse requires approximately 1.5 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 GLM 5.1 Qwen3 0.6B CoNDeNse and how large is it?

GLM 5.1 Qwen3 0.6B CoNDeNse is developed by CoNDeNse-AI, 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 GLM 5.1 Qwen3 0.6B CoNDeNse?

GLM 5.1 Qwen3 0.6B CoNDeNse is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

GLM 5.1 Qwen3 0.6B CoNDeNse by CoNDeNse-AI — VRAM 1.5GB, 40K context

Name: GLM 5.1 Qwen3 0.6B CoNDeNse
Author: CoNDeNse-AI

GLM 5.1 Qwen3 0.6B CoNDeNse is an open-source language model by CoNDeNse-AI. Features: 0.6b LLM, VRAM: 1.5GB, Context: 40K, LLM Explorer Score: 0.27.

Arxiv:1910.09700 Conversational Endpoints compatible Qwen3 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/CoNDeNse-AI/GLM-5.1-Qwen3-0.6B-CoNDeNse

GLM 5.1 Qwen3 0.6B CoNDeNse Benchmarks

LLME Score: 0.2743

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

GLM 5.1 Qwen3 0.6B CoNDeNse (CoNDeNse-AI/GLM-5.1-Qwen3-0.6B-CoNDeNse)

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GLM 5.1 Qwen3 0.6B CoNDeNse Parameters and Internals

LLM Name	GLM 5.1 Qwen3 0.6B CoNDeNse
Repository 🤗	https://huggingface.co/CoNDeNse-AI/GLM-5.1-Qwen3-0.6B-CoNDeNse
Model Size	0.6b
Required VRAM	1.5 GB
Updated	2026-05-24
Maintainer	CoNDeNse-AI
Model Type	qwen3
Model Files	1.5 GB
Model Architecture	Qwen3ForCausalLM
Context Length	40960
Model Max Length	40960
Transformers Version	5.0.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Best Alternatives to GLM 5.1 Qwen3 0.6B CoNDeNse

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3 Reranker 0.6B	40K / 1.2 GB	2150586	368
Qwen3 0.6B FP8	40K / 1.1 GB	2079903	62
Privasis Cleaner 0.6B	40K / 1.2 GB	352	10
Qwen3 0.6B	40K / 1.2 GB	197172	20
Qwen 0.6B ConvFill	40K / 1.2 GB	52	0
Palindrome Sft Qwen3	40K / 2.4 GB	141	0
Palindrome Sft V2 Qwen3	40K / 2.4 GB	81	0
Qwen3 0.6B Cybertown SFT	40K / 1.2 GB	16	0
Evolai Qwen047 V0	40K / 1.5 GB	35	0
Foggen	40K / 1.2 GB	7	2

Note: green Score (e.g. "73.2") means that the model is better than CoNDeNse-AI/GLM-5.1-Qwen3-0.6B-CoNDeNse.

Rank the GLM 5.1 Qwen3 0.6B CoNDeNse Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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GLM 5.1 Qwen3 0.6B CoNDeNse by CoNDeNse-AI

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GLM 5.1 Qwen3 0.6B CoNDeNse Benchmarks

GLM 5.1 Qwen3 0.6B CoNDeNse Parameters and Internals

Best Alternatives to GLM 5.1 Qwen3 0.6B CoNDeNse

Rank the GLM 5.1 Qwen3 0.6B CoNDeNse Capabilities

What open-source LLMs or SLMs are you in search of? 54898 in total.