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

Qwen3.5 0.8B Base LM requires approximately 3 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 Qwen3.5 0.8B Base LM and how large is it?

Qwen3.5 0.8B Base LM is developed by igorktech, 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 Qwen3.5 0.8B Base LM?

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

Qwen3.5 0.8B Base LM by igorktech — VRAM 3GB, 256K context

Name: Qwen3.5 0.8B Base LM
Author: igorktech

Qwen3.5 0.8B Base LM is an open-source language model by igorktech. Features: 0.8b LLM, VRAM: 3GB, Context: 256K, LLM Explorer Score: 0.23.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3.5-0.8b-b... Conversational Endpoints compatible Qwen Qwen3.5 Qwen3 5 text Region:us Safetensors Text-only

Model Card on HF 🤗: https://huggingface.co/igorktech/Qwen3.5-0.8B-Base-LM

Qwen3.5 0.8B Base LM Parameters and Internals

LLM Name	Qwen3.5 0.8B Base LM
Repository 🤗	https://huggingface.co/igorktech/Qwen3.5-0.8B-Base-LM
Base Model(s)	Qwen/Qwen3.5-0.8B-Base Qwen/Qwen3.5-0.8B-Base
Model Size	0.8b
Required VRAM	3 GB
Updated	2026-10-21
Maintainer	igorktech
Model Type	qwen3_5_text
Model Files	3.0 GB
Model Architecture	Qwen3_5ForCausalLM
Context Length	262144
Model Max Length	262144
Transformers Version	5.3.0
Tokenizer Class	TokenizersBackend
Padding Token	<\|endoftext\|>
Vocabulary Size	248320
Errors	replace

Rank the Qwen3.5 0.8B Base LM 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 Qwen3.5 0.8B Base LM

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Decider 0.8B	256K / 1.5 GB	16026	7
ThinCtx Qwen3.5 0.8B	256K / 0.1 GB	2916	1
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

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