What are the hardware requirements for AlphaRoute 0.8B V1.0?

AlphaRoute 0.8B V1.0 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 AlphaRoute 0.8B V1.0 and how large is it?

AlphaRoute 0.8B V1.0 is developed by NamanAgnih0tri, 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 AlphaRoute 0.8B V1.0?

AlphaRoute 0.8B V1.0 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

AlphaRoute 0.8B V1.0 by NamanAgnih0tri — VRAM 1.5GB, 256K context

Name: AlphaRoute 0.8B V1.0
Author: NamanAgnih0tri

AlphaRoute 0.8B V1.0 is an open-source language model by NamanAgnih0tri. Features: 0.8b LLM, VRAM: 1.5GB, Context: 256K, License: apache-2.0, LLM Explorer Score: 0.31.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3.5-0.8b-b... Conversational En Endpoints compatible Intent-classification Json Pytorch Qwen3 5 text Region:us Routing Safetensors Semantic-routing Sglang Slm Structured-outputs Vllm

Model Card on HF 🤗: https://huggingface.co/NamanAgnih0tri/AlphaRoute-0.8B-v1.0

AlphaRoute 0.8B V1.0 Parameters and Internals

LLM Name	AlphaRoute 0.8B V1.0
Repository 🤗	https://huggingface.co/NamanAgnih0tri/AlphaRoute-0.8B-v1.0
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	2026-08-21
Maintainer	NamanAgnih0tri
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	5.15.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	248320
Errors	replace

Rank the AlphaRoute 0.8B V1.0 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

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Quipu 0.8B	256K / 1.5 GB	118	1
Qwen 3.5 0.8B Hedgehog	256K / 1.5 GB	438	0
St4 Annealing Sft	256K / 1.5 GB	526	0
St4 Generic Sft	256K / 1.5 GB	386	0
St5 Generic Sft	256K / 1.5 GB	304	0
St3 Response Sft	256K / 1.5 GB	109	0
Qwen3.5 0.8B Text Only	256K / 1.5 GB	224	8
Qwenite3.5 0.8B	256K / 1.5 GB	36	0
...wen3.5 0.8B TW CivicAligned V1	256K / 1.5 GB	10	1
...aling Sft Fixed Tokenization 2	256K / 1.5 GB	38	0