What are the hardware requirements for Compctx 0.8B?

Compctx 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 Compctx 0.8B and how large is it?

Compctx 0.8B is developed by aksern, 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 Compctx 0.8B?

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

Compctx 0.8B by aksern — VRAM 1.5GB, 256K context

Name: Compctx 0.8B
Author: aksern

Compctx 0.8B is an open-source language model by aksern. Features: 0.8b LLM, VRAM: 1.5GB, Context: 256K, License: openmdw-1.1, LLM Explorer Score: 0.31.

Agent-memory Base model:adapter:qwen/qwen3.... Base model:qwen/qwen3.5-0.8b Conversational Endpoints compatible Lora Qwen3.5 Qwen3 5 text Region:us Safetensors Text-only Trace-summarization

Model Card on HF 🤗: https://huggingface.co/aksern/compctx-0.8b

Compctx 0.8B Parameters and Internals

LLM Name	Compctx 0.8B
Repository 🤗	https://huggingface.co/aksern/compctx-0.8b
Base Model(s)	Qwen/Qwen3.5-0.8B Qwen/Qwen3.5-0.8B
Model Size	0.8b
Required VRAM	1.5 GB
Updated	2026-11-01
Maintainer	aksern
Model Type	qwen3_5_text
Model Files	1.5 GB
Model Architecture	Qwen3_5ForCausalLM
License	openmdw-1.1
Context Length	262144
Model Max Length	262144
Transformers Version	5.5.0
Tokenizer Class	TokenizersBackend
Padding Token	<\|endoftext\|>
Vocabulary Size	248320
LoRA Model	Yes
Errors	replace

Rank the Compctx 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 Compctx 0.8B

Best Alternatives	Context / RAM	Downloads	Likes
Decider 0.8B	256K / 1.5 GB	16026	7
ThinCtx Qwen3.5 0.8B	256K / 0.1 GB	2916	1
Serin 0.8B	256K / 1.5 GB	314	1
Jev Decisions V1 Model	256K / 1.5 GB	514	1
Basal Omni Pico	256K / 1.5 GB	97	2
Starlight Small 1	256K / 1.5 GB	495	0
Unee 0.8B	256K / 1.5 GB	407	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

Note: green Score (e.g. "73.2") means that the model is better than aksern/compctx-0.8b.