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MedScholar 1.5B by yasserrmd

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MedScholar 1.5B is an open-source language model by yasserrmd. Features: 1.5b LLM, VRAM: 3.1GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.2.

  4bit   Dataset:miriad/miriad-4.4m   En   Endpoints compatible   Quantized   Qwen2   Region:us   Safetensors   Unsloth
Model Card on HF 🤗: https://huggingface.co/yasserrmd/MedScholar-1.5B 

MedScholar 1.5B Benchmarks

LLME Score: 0.19879
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MedScholar 1.5B (yasserrmd/MedScholar-1.5B)
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MedScholar 1.5B Parameters and Internals

LLM NameMedScholar 1.5B
Repository 🤗https://huggingface.co/yasserrmd/MedScholar-1.5B 
Base Model(s)  unsloth/qwen2.5-1.5b-unsloth-bnb-4bit   unsloth/qwen2.5-1.5b-unsloth-bnb-4bit
Model Size1.5b
Required VRAM3.1 GB
Updated2026-07-03
Maintaineryasserrmd
Model Typeqwen2
Model Files  3.1 GB
Supported Languagesen
Quantization Type4bit
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.53.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|vision_pad|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

Quantized Models of the MedScholar 1.5B

Model
Likes
Downloads
VRAM
MedScholar 1.5B F32 GGUF3850 GB

Best Alternatives to MedScholar 1.5B

Best Alternatives
Context / RAM
Downloads
Likes
VibeThinker 1.5B Mlx 4bit128K / 0.9 GB295925
...ill Qwen 1.5B Unsloth Bnb 4bit128K / 1.8 GB1106616
Eval Model128K / 7.1 GB91
DeepSeek R1 ForumNXT128K / 3.5 GB80
Research PathfinderAI128K / 3.5 GB190
...en 1.5B Trained Alvin0616 Fork128K / 3.5 GB70
... R1 Distill Qwen 1.5B Bnb 4bit128K / 1.6 GB200811
...pSeek R1 Distill Qwen 1.5B 500128K / 1.7 GB60
Umbr0x 1.5B V3.1 16bit 2128K / 15.2 GB190
Qwen2 1.5B SFT 16bit Alpha128K / 3.1 GB80
Note: green Score (e.g. "73.2") means that the model is better than yasserrmd/MedScholar-1.5B.

Rank the MedScholar 1.5B Capabilities

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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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