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Qwen2.5 3B Skilled Legal Chatbot Sft by bentoso

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Qwen2.5 3B Skilled Legal Chatbot Sft is an open-source language model by bentoso. Features: 3b LLM, VRAM: 6.2GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.3.

  4bit   En   Endpoints compatible   Quantized   Qwen2   Region:us   Safetensors   Sharded   Tensorflow   Unsloth
Model Card on HF 🤗: https://huggingface.co/bentoso/qwen2.5-3b-skilled-legal-chatbot-sft 

Qwen2.5 3B Skilled Legal Chatbot Sft Benchmarks

LLME Score: 0.30245
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 3B Skilled Legal Chatbot Sft (bentoso/qwen2.5-3b-skilled-legal-chatbot-sft)
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Qwen2.5 3B Skilled Legal Chatbot Sft Parameters and Internals

LLM NameQwen2.5 3B Skilled Legal Chatbot Sft
Repository 🤗https://huggingface.co/bentoso/qwen2.5-3b-skilled-legal-chatbot-sft 
Base Model(s)  unsloth/qwen2.5-3b-unsloth-bnb-4bit   unsloth/qwen2.5-3b-unsloth-bnb-4bit
Model Size3b
Required VRAM6.2 GB
Updated2026-07-21
Maintainerbentoso
Model Typeqwen2
Model Files  5.0 GB: 1-of-2   1.2 GB: 2-of-2
Supported Languagesen
Quantization Type4bit
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Tokenizer ClassQwen2Tokenizer
Padding Token<|vision_pad|>
Vocabulary Size151936
Torch Data Typefloat16
Errorsreplace

Best Alternatives to Qwen2.5 3B Skilled Legal Chatbot Sft

Best Alternatives
Context / RAM
Downloads
Likes
VibeThinker 3B 8bit128K / 3.3 GB39733
VibeThinker 3B OptiQ 4bit128K / 2.3 GB2152
Qwen2.5 3B Legal Sft32K / 6.2 GB2690
Qwen2.5 3B Legal Id Sft32K / 6.2 GB7300
...sa Assyifa Putri Legal Chatbot32K / 6.2 GB2080
Legalbot Exp132K / 6.2 GB1950
...wen2.5 Coder 3B Instruct V13.132K / 6.2 GB930
Qwen2.5 3B Indonesian Legal32K / 6.2 GB830
Qwen2.5 3B Alpaca Id32K / 6.2 GB600
Qwen Indo SFT32K / 6.2 GB230
Note: green Score (e.g. "73.2") means that the model is better than bentoso/qwen2.5-3b-skilled-legal-chatbot-sft.

Rank the Qwen2.5 3B Skilled Legal Chatbot Sft 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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