What are the hardware requirements for Decider 0.8B?

Decider 0.8B requires approximately 1.5 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 Decider 0.8B and how large is it?

Decider 0.8B is developed by Mapika, 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 Decider 0.8B?

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

Decider 0.8B by Mapika — VRAM 1.5GB, 256K context

Name: Decider 0.8B
Author: Mapika

Decider 0.8B is an open-source language model by Mapika. Features: 0.8b LLM, VRAM: 1.5GB, Context: 256K, License: apache-2.0, LLM Explorer Score: 0.34.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3.5-0.8b-b... Calibrated Decision-model En Multi-task One-pass Qwen3 5 text Region:us Safetensors Structured-output System-one

Model Card on HF 🤗: https://huggingface.co/Mapika/decider-0.8b

Decider 0.8B Parameters and Internals

LLM Name	Decider 0.8B
Repository 🤗	https://huggingface.co/Mapika/decider-0.8b
Base Model(s)	Qwen/Qwen3.5-0.8B-Base Qwen/Qwen3.5-0.8B-Base
Model Size	0.8b
Required VRAM	1.5 GB
Updated	2026-10-20
Maintainer	Mapika
Model Type	qwen3_5_text
Model Files	1.5 GB
Supported Languages	en
Model Architecture	Qwen3_5ForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	5.17.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	248320
Errors	replace

Rank the Decider 0.8B 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 Decider 0.8B

Best Alternatives	Context / RAM	Downloads	Likes
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
Quipu 0.8B	256K / 1.5 GB	118	1