What are the hardware requirements for ThinCtx Qwen3.5 0.8B?

ThinCtx Qwen3.5 0.8B requires approximately 0.1 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed ThinCtx Qwen3.5 0.8B and how large is it?

ThinCtx Qwen3.5 0.8B is developed by thinletter, a model with 0.8b 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 ThinCtx Qwen3.5 0.8B?

ThinCtx Qwen3.5 0.8B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

ThinCtx Qwen3.5 0.8B by thinletter — VRAM 0.1GB, 256K context

Name: ThinCtx Qwen3.5 0.8B
Author: thinletter

ThinCtx Qwen3.5 0.8B is an open-source language model by thinletter. Features: 0.8b LLM, VRAM: 0.1GB, Context: 256K, License: other.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3.5-0.8b Conversational Cs De En Long-context Multilingual Qwen3.5 Qwen3 5 text Region:us Safetensors Thinctx

Model Card on HF 🤗: https://huggingface.co/thinletter/ThinCtx-Qwen3.5-0.8B

ThinCtx Qwen3.5 0.8B Parameters and Internals

LLM Name	ThinCtx Qwen3.5 0.8B
Repository 🤗	https://huggingface.co/thinletter/ThinCtx-Qwen3.5-0.8B
Base Model(s)	Qwen/Qwen3.5-0.8B Qwen/Qwen3.5-0.8B
Model Size	0.8b
Required VRAM	0.1 GB
Updated	2026-10-17
Maintainer	thinletter
Model Type	qwen3_5_text
Model Files	0.1 GB 1.5 GB
Supported Languages	en cs de
Model Architecture	Qwen3_5ForCausalLM
License	other
Context Length	262144
Model Max Length	262144
Transformers Version	5.18.0
Tokenizer Class	Qwen3_5Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	248320
Errors	replace

Rank the ThinCtx Qwen3.5 0.8B 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

Best Alternatives to ThinCtx Qwen3.5 0.8B

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Jev Decisions V1 Model	256K / 1.5 GB	514	1
Unee 0.8B	256K / 1.5 GB	407	0
Starlight Small 1	256K / 1.5 GB	495	0
...en3.5 0.8B PureText ZH EN V5.2	256K / 1.4 GB	387	0
Qwen3.5 0.8B Fable GPT6	256K / 1.5 GB	177	0
PrimeMind 0.8B	256K / 1.5 GB	232	2
Qwen 3.5 0.8B Hedgehog	256K / 1.5 GB	438	0
AlphaRoute 0.8B V1.0	256K / 1.5 GB	209	1
Quipu 0.8B	256K / 1.5 GB	118	1
St4 Annealing Sft	256K / 1.5 GB	526	0

Note: green Score (e.g. "73.2") means that the model is better than thinletter/ThinCtx-Qwen3.5-0.8B.