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JOSIE 1.1 4B Instruct by Goekdeniz-Guelmez

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JOSIE 1.1 4B Instruct is an open-source language model by Goekdeniz-Guelmez. Features: 4b LLM, VRAM: 8GB, Context: 256K, License: mit, Instruction-Based, LLM Explorer Score: 0.24.

  Ar Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-4b-instr...   Chat   Conversational   De   En   Endpoints compatible   Es   Fr   Id   Instruct   It   Ja   Ko   Multilingual   Pt   Qwen3   Region:us   Ru   Safetensors   Sharded   Tensorflow   Th   Vi   Zh
Model Card on HF 🤗: https://huggingface.co/Goekdeniz-Guelmez/JOSIE-1.1-4B-Instruct 

JOSIE 1.1 4B Instruct Benchmarks

LLME Score: 0.24466
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
JOSIE 1.1 4B Instruct (Goekdeniz-Guelmez/JOSIE-1.1-4B-Instruct)
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JOSIE 1.1 4B Instruct Parameters and Internals

LLM NameJOSIE 1.1 4B Instruct
Repository 🤗https://huggingface.co/Goekdeniz-Guelmez/JOSIE-1.1-4B-Instruct 
Base Model(s)  Qwen3 4B Instruct 2507   Qwen/Qwen3-4B-Instruct-2507
Model Size4b
Required VRAM8 GB
Updated2026-06-29
MaintainerGoekdeniz-Guelmez
Model Typeqwen3
Instruction-BasedYes
Model Files  5.3 GB: 1-of-2   2.7 GB: 2-of-2
Supported Languagesen es fr pt it ar ko id ru vi de th ja zh
Model ArchitectureQwen3ForCausalLM
Licensemit
Context Length262144
Model Max Length262144
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151669
Errorsreplace

Best Alternatives to JOSIE 1.1 4B Instruct

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FastContext 1.0 4B SFT256K / 8.1 GB5735357
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Qwen3 4B Instruct 2507256K / 8.1 GB5455321886
Qwen3 4B Instruct 2507 FP8256K / 5.2 GB84028179
Agents K1256K / 8.8 GB60120
CyberSecQwen 4B256K / 8 GB61614
Qwen3 4B Elderly Sft Merged256K / 8.1 GB3780
Jan Code 4B256K / 8.9 GB41778
Qwen3 4B DASD 32K256K / 8 GB850
Qwen3 4B Instruct 2507256K / 8.1 GB4128426
Note: green Score (e.g. "73.2") means that the model is better than Goekdeniz-Guelmez/JOSIE-1.1-4B-Instruct.

Rank the JOSIE 1.1 4B Instruct 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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