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MedVi Chat 1.5B by anti-ai

 »  All LLMs  »  anti-ai  »  MedVi Chat 1.5B   URL Share it on

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  Autotrain compatible Base model:anti-ai/medvi-chat-... Base model:finetune:anti-ai/me...   Conversational   Endpoints compatible   Qwen2   Region:us   Safetensors   Trl   Unsloth   Vi
Model Card on HF 🤗: https://huggingface.co/anti-ai/MedVi-chat-1.5B 

MedVi Chat 1.5B Benchmarks

LLME Score: 0.24721
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MedVi Chat 1.5B (anti-ai/MedVi-chat-1.5B)

MedVi Chat 1.5B Parameters and Internals

Model Type 
text-generation-inference, transformers, unsloth, qwen2, trl
Additional Notes 
This qwen2 model was trained 2x faster with Unsloth and Huggingface's TRL library.
Supported Languages 
en (unspecified)
LLM NameMedVi Chat 1.5B
Repository 🤗https://huggingface.co/anti-ai/MedVi-chat-1.5B 
Base Model(s)  anti-ai/MedVi-chat-1.5B   anti-ai/MedVi-chat-1.5B
Model Size1.5b
Required VRAM3.1 GB
Updated2024-12-21
Maintaineranti-ai
Model Typeqwen2
Model Files  3.1 GB
Supported Languagesvi
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.44.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than anti-ai/MedVi-chat-1.5B.

Rank the MedVi Chat 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217
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