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Lightning 4B by quelmap

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Lightning 4B is an open-source language model by quelmap. Features: 4b LLM, VRAM: 8.1GB, Context: 256K, License: apache-2.0, LLM Explorer Score: 0.35, ELO: 1328.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-4b-think...   Conversational   En   Endpoints compatible   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/quelmap/Lightning-4b 

Lightning 4B Benchmarks

LMSys ELO: 1328 vs 1272 (so35)4.4%
LLME Score: 0.35173
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Lightning 4B (quelmap/Lightning-4b)
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Lightning 4B Parameters and Internals

LLM NameLightning 4B
Repository 🤗https://huggingface.co/quelmap/Lightning-4b 
Base Model(s)  Qwen3 4B Thinking 2507   Qwen/Qwen3-4B-Thinking-2507
Model Size4b
Required VRAM8.1 GB
Updated2025-09-17
Maintainerquelmap
Model Typeqwen3
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
Transformers Version4.55.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Lightning 4B

Best Alternatives
Context / RAM
Downloads
Likes
Qwen3 4B Thinking 2507256K / 8.1 GB1207168574
GRPO 4 70256K / 8.1 GB200
Qwen3 4B Instruct 2507256K / 8.1 GB1473674320
Jan Code 4B256K / 8.9 GB227072
QED Nano256K / 8.1 GB681686
Jan V1 4B256K / 8.1 GB108354353
AgentCPM Explore256K / 8.9 GB138328
Qwen3 4B Instruct 2507 FP8256K / 5.2 GB71535873
DASD 4B Thinking256K / 8.1 GB443216
Jan V3 4B Base Instruct256K / 8.9 GB182760
Note: green Score (e.g. "73.2") means that the model is better than quelmap/Lightning-4b.

Rank the Lightning 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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