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Qwen UMLS 7B Instruct by prithivMLmods

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  4bit   7b   Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-7b-ins...   Conversational   Dataset:avaliev/umls   En   Endpoints compatible   Instruct   Medical   National library of medicine   Pytorch   Quantized   Qwen2   Qwen2.5   Region:us   Safetensors   Sharded   Umls Unified medical language syste...
Model Card on HF 🤗: https://huggingface.co/prithivMLmods/Qwen-UMLS-7B-Instruct 

Qwen UMLS 7B Instruct Benchmarks

LLME Score: 0.25646
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen UMLS 7B Instruct (prithivMLmods/Qwen-UMLS-7B-Instruct)

Qwen UMLS 7B Instruct Parameters and Internals

LLM NameQwen UMLS 7B Instruct
Repository 🤗https://huggingface.co/prithivMLmods/Qwen-UMLS-7B-Instruct 
Base Model(s)  Qwen/Qwen2.5-7B-Instruct   Qwen/Qwen2.5-7B-Instruct
Model Size7b
Required VRAM15.2 GB
Updated2025-02-05
MaintainerprithivMLmods
Model Typeqwen2
Instruction-BasedYes
Model Files  4.9 GB: 1-of-4   4.9 GB: 2-of-4   4.3 GB: 3-of-4   1.1 GB: 4-of-4
Supported Languagesen
Quantization Type4bit
Model ArchitectureQwen2ForCausalLM
Licensecreativeml-openrail-m
Context Length32768
Model Max Length32768
Transformers Version4.46.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
Vocabulary Size152064
Torch Data Typefloat16
Errorsreplace

Quantized Models of the Qwen UMLS 7B Instruct

Model
Likes
Downloads
VRAM
Qwen UMLS 7B Instruct GGUF81114 GB

Best Alternatives to Qwen UMLS 7B Instruct

Best Alternatives
Context / RAM
Downloads
Likes
Qwen2.5 7B Instruct 1M 4bit986K / 4.3 GB4216
Mini QwQ32K / 15.2 GB251
AetherSett32K / 15.2 GB101
SphinX32K / 15.2 GB321
Qwen2.5 7B Instruct Bnb 4bit32K / 5.5 GB24302310
Qwen2.5 7B Instruct 4bit32K / 4.3 GB2156337
ReasonTest32K / 15.2 GB110
Qwen2.5 Coder 7B Instruct 4bit32K / 4.3 GB1039822
FinancialAdvice Qwen2.5 7B32K / 15.2 GB381
FastApply 7B V1.032K / 15.2 GB480519
Note: green Score (e.g. "73.2") means that the model is better than prithivMLmods/Qwen-UMLS-7B-Instruct.

Rank the Qwen UMLS 7B Instruct 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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