MAXWELL by Xerv-AI

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MAXWELL is an open-source language model by Xerv-AI. Features: 1.5b LLM, VRAM: 3.1GB, Context: 4K, License: apache-2.0, Quantized, Instruction-Based, Merged, LLM Explorer Score: 0.26.

  Merged Model   4bit   Analytical Base model:finetune:unsloth/qw... Base model:unsloth/qwen2.5-mat...   Conversational   Dataset:xerv-ai/tart   En   Endpoints compatible   Eval-results   Fp16   Instruct   Logic   Mathematics   Meta-aggregation   Model-index   Physics   Quantized   Qwen2   Qwen2.5-math   Reasoning   Region:us   Safetensors   Science   Stem   Stss-framework   Unsloth

MAXWELL Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

MAXWELL Parameters and Internals

LLM NameMAXWELL
Repository 🤗https://huggingface.co/Xerv-AI/MAXWELL 
Model NameMAXWELL
Model CreatorXerv-AI
Base Model(s)  unsloth/Qwen2.5-Math-1.5B-Instruct-bnb-4bit   unsloth/Qwen2.5-Math-1.5B-Instruct-bnb-4bit
Merged ModelYes
Model Size1.5b
Required VRAM3.1 GB
Updated2026-06-30
MaintainerXerv-AI
Model Typeqwen2
Instruction-BasedYes
Model Files  3.1 GB
Supported Languagesen
Quantization Typefp16|4bit
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
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 Xerv-AI/MAXWELL.

Rank the MAXWELL 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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Release v20260328a