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Fact Extractor Dev 1B by abvgkjhjh

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Fact Extractor Dev 1B is an open-source language model by abvgkjhjh. Features: 4b LLM, VRAM: 8.1GB, Context: 256K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.31.

  4bit Base model:finetune:unsloth/qw... Base model:unsloth/qwen3-4b-in...   Conversational   En   Endpoints compatible   Instruct   Quantized   Qwen3   Region:us   Safetensors   Sharded   Tensorflow   Unsloth
Model Card on HF 🤗: https://huggingface.co/abvgkjhjh/fact_extractor_dev_1b 

Fact Extractor Dev 1b Benchmarks

LLME Score: 0.30924
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Fact Extractor Dev 1B (abvgkjhjh/fact_extractor_dev_1b)
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Fact Extractor Dev 1B Parameters and Internals

LLM NameFact Extractor Dev 1b
Repository 🤗https://huggingface.co/abvgkjhjh/fact_extractor_dev_1b 
Base Model(s)  ...Instruct 2507 Unsloth Bnb 4bit   unsloth/Qwen3-4B-Instruct-2507-unsloth-bnb-4bit
Model Size4b
Required VRAM8.1 GB
Updated2026-03-27
Maintainerabvgkjhjh
Model Typeqwen3
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   3.1 GB: 2-of-2
Supported Languagesen
Quantization Type4bit
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length262144
Model Max Length262144
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
Vocabulary Size151936
Torch Data Typefloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than abvgkjhjh/fact_extractor_dev_1b.

Rank the Fact Extractor Dev 1B Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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