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Jmedllm 7B V1 by stardust-coder

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  Autotrain compatible   Conversational   Endpoints compatible   Ja   Medical   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/stardust-coder/jmedllm-7b-v1 

Jmedllm 7B V1 Benchmarks

LLME Score: 0.17058
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Jmedllm 7B V1 (stardust-coder/jmedllm-7b-v1)
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Jmedllm 7B V1 Parameters and Internals

LLM NameJmedllm 7B V1
Repository 🤗https://huggingface.co/stardust-coder/jmedllm-7b-v1 
Model Size7b
Required VRAM15.2 GB
Updated2024-08-18
Maintainerstardust-coder
Model Typeqwen2
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 Languagesja
Model ArchitectureQwen2ForCausalLM
Licensecc-by-nc-sa-4.0
Context Length32768
Model Max Length32768
Transformers Version4.41.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typefloat16
Errorsreplace

Best Alternatives to Jmedllm 7B V1

Best Alternatives
Context / RAM
Downloads
Likes
Qwen2.5 7B Instruct 1M986K / 15.4 GB452677347
Hush Qwen2.5 7B V1.2986K / 15.2 GB61
Hush Qwen2.5 7B V1.1986K / 15.2 GB61
Hush Qwen2.5 7B V1.4986K / 15.2 GB71
Hush Qwen2.5 7B Preview986K / 15.2 GB80
Hush Qwen2.5 7B V1.3986K / 15.2 GB62
Qwen2.5 7B Preview986K / 15.2 GB60
Hush Qwen2.5 7B RP V1.4 1M986K / 15.2 GB62
Qwen 2.5 7B Exp Sce986K / 15.2 GB52
Qwen2.5 7B MixStock V0.1986K / 15.2 GB63
Note: green Score (e.g. "73.2") means that the model is better than stardust-coder/jmedllm-7b-v1.

Rank the Jmedllm 7B V1 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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Release v20241124
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