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Qwen3 4B Instruct 2507 Faquad by g-assismoraes

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Qwen3 4B Instruct 2507 Faquad is an open-source language model by g-assismoraes. Features: 4b LLM, VRAM: 8.1GB, Context: 256K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.19.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-4b-instr...   Conversational   Endpoints compatible   Generated from trainer   Instruct   Qwen3   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/g-assismoraes/Qwen3-4B-Instruct-2507-faquad 

Qwen3 4B Instruct 2507 Faquad Benchmarks

LLME Score: 0.19443
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3 4B Instruct 2507 Faquad (g-assismoraes/Qwen3-4B-Instruct-2507-faquad)

Qwen3 4B Instruct 2507 Faquad Parameters and Internals

LLM NameQwen3 4B Instruct 2507 Faquad
Repository 🤗https://huggingface.co/g-assismoraes/Qwen3-4B-Instruct-2507-faquad 
Base Model(s)  Qwen3 4B Instruct 2507   Qwen/Qwen3-4B-Instruct-2507
Model Size4b
Required VRAM8.1 GB
Updated2026-07-11
Maintainerg-assismoraes
Model Typeqwen3
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   3.1 GB: 2-of-2   0.0 GB
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length262144
Model Max Length262144
Transformers Version4.51.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Context / RAM
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Fable Traces256K / 8.1 GB5530209
FastContext 1.0 4B SFT256K / 8.1 GB5735357
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Qwen3 4B Instruct 2507 FP8256K / 5.2 GB110074478
Nexa AI 4B Instruct256K / 8 GB5762
Tac 1256K / 8.1 GB6350
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Agents K1256K / 8.8 GB109828
Qwen3 4B Toxic Unsloth256K / 8.1 GB380
Note: green Score (e.g. "73.2") means that the model is better than g-assismoraes/Qwen3-4B-Instruct-2507-faquad.

Rank the Qwen3 4B Instruct 2507 Faquad 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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