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Vector L1 4B by MikaLabs

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Vector L1 4B is an open-source language model by MikaLabs. Features: 4b LLM, VRAM: 8.1GB, Context: 256K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.29.

Base model:finetune:unsloth/qw... Base model:unsloth/qwen3-4b-in...   Conversational   Education   En   Instruct   Lesson-planning   Qwen3   Region:us   Safetensors   Sharded   Teaching   Tensorflow   Worksheet-generation
Model Card on HF 🤗: https://huggingface.co/MikaLabs/Vector-L1-4B 

Vector L1 4B Benchmarks

LLME Score: 0.28795
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Vector L1 4B (MikaLabs/Vector-L1-4B)
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Vector L1 4B Parameters and Internals

LLM NameVector L1 4B
Repository 🤗https://huggingface.co/MikaLabs/Vector-L1-4B 
Base Model(s)  Qwen3 4B Instruct 2507   unsloth/Qwen3-4B-Instruct-2507
Model Size4b
Required VRAM8.1 GB
Updated2026-06-08
MaintainerMikaLabs
Model Typeqwen3
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   3.1 GB: 2-of-2
Supported Languagesen
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length262144
Model Max Length262144
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Vector L1 4B

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Context / RAM
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Likes
Qwen3 4B Instruct 2507256K / 8.1 GB4833125869
Qwen3 4B Instruct 2507 FP8256K / 5.2 GB84028179
CyberSecQwen 4B256K / 8 GB122411
Jan Code 4B256K / 8.9 GB41778
Qwen3 4B Elderly Sft Merged256K / 8.1 GB3430
Qwen3 4B DASD 32K256K / 8 GB4460
SimpleSD 4B Instruct256K / 8.1 GB11084
...king 2507 Heretic CodeFeedback256K / 8.1 GB180
Qwen3 4B Instruct 2507256K / 8.1 GB4128426
Jan V3.5 4B256K / 8.9 GB28115
Note: green Score (e.g. "73.2") means that the model is better than MikaLabs/Vector-L1-4B.

Rank the Vector L1 4B 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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