What are the hardware requirements for Fact Extractor Dev 2 1B?

Fact Extractor Dev 2 1B requires approximately 8.1 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 Fact Extractor Dev 2 1B and how large is it?

Fact Extractor Dev 2 1B is developed by abvgkjhjh, a model with 1b 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 Fact Extractor Dev 2 1B?

Fact Extractor Dev 2 1B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Fact Extractor Dev 2 1B by abvgkjhjh — VRAM 8.1GB, 256K context

Name: Fact Extractor Dev 2 1B
Author: abvgkjhjh

Fact Extractor Dev 2 1B is an open-source language model by abvgkjhjh. Features: 1b LLM, VRAM: 8.1GB, Context: 256K, License: apache-2.0, LLM Explorer Score: 0.22.

Base model:abvgkjhjh/fact extr... Base model:finetune:abvgkjhjh/... Conversational En Endpoints compatible Qwen3 Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/abvgkjhjh/fact_extractor_dev_2-1b

Fact Extractor Dev 2 1B Parameters and Internals

LLM Name	Fact Extractor Dev 2 1B
Repository 🤗	https://huggingface.co/abvgkjhjh/fact_extractor_dev_2-1b
Base Model(s)	Fact Extractor Dev 1b abvgkjhjh/fact_extractor_dev_1b
Model Size	1b
Required VRAM	8.1 GB
Updated	2026-07-20
Maintainer	abvgkjhjh
Model Type	qwen3
Model Files	5.0 GB: 1-of-2 3.1 GB: 2-of-2
Supported Languages	en
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|PAD_TOKEN\|>
Vocabulary Size	151936
Torch Data Type	float16
Errors	replace

Rank the Fact Extractor Dev 2 1B 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 Fact Extractor Dev 2 1B

Best Alternatives	Context / RAM	Downloads	Likes
Cent1 1B	40K / 3.4 GB	378	4
Arkios 1B Base	4K / 4.2 GB	384	0

Note: green Score (e.g. "73.2") means that the model is better than abvgkjhjh/fact_extractor_dev_2-1b.