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Qwen2.5 3B Legal Sft by hyuu97

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Qwen2.5 3B Legal Sft is an open-source language model by hyuu97. Features: 3b LLM, VRAM: 6.2GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.3.

  4bit Base model:finetune:unsloth/qw... Base model:unsloth/qwen2.5-3b-...   Conversational   En   Endpoints compatible   Instruct   Quantized   Qwen2   Region:us   Safetensors   Sharded   Tensorflow   Unsloth
Model Card on HF 🤗: https://huggingface.co/hyuu97/qwen2.5-3b-legal-sft 

Qwen2.5 3B Legal Sft Benchmarks

LLME Score: 0.30077
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 Legal Sft (hyuu97/qwen2.5-3b-legal-sft)
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Qwen2.5 3B Legal Sft Parameters and Internals

LLM NameQwen2.5 3B Legal Sft
Repository 🤗https://huggingface.co/hyuu97/qwen2.5-3b-legal-sft 
Base Model(s)  unsloth/Qwen2.5-3B-Instruct-bnb-4bit   unsloth/Qwen2.5-3B-Instruct-bnb-4bit
Model Size3b
Required VRAM6.2 GB
Updated2026-07-19
Maintainerhyuu97
Model Typeqwen2
Instruction-BasedYes
Model Files  4.0 GB: 1-of-2   2.2 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 Legal Sft

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Context / RAM
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VibeThinker 3B 8bit128K / 3.3 GB39733
Qwen2.5 3B Legal Id Sft32K / 6.2 GB7300
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Legalbot Exp132K / 6.2 GB1950
...wen2.5 Coder 3B Instruct V13.132K / 6.2 GB930
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Qwen Indo SFT32K / 6.2 GB230
...egal Chatbot Qwen3b Sft Merged32K / 6.2 GB180
TethysAI Base Reasoning32K / 6.2 GB550
Note: green Score (e.g. "73.2") means that the model is better than hyuu97/qwen2.5-3b-legal-sft.

Rank the Qwen2.5 3B Legal 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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