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MedNarra X1 by PranavHarshan

 »  All LLMs  »  PranavHarshan  »  MedNarra X1   URL Share it on

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  Merged Model Base model:bongbongs/newmes-v1... Base model:finetune:bongbongs/...   Bongbongs/newmes-v15   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/PranavHarshan/MedNarra-X1 

MedNarra X1 Benchmarks

MMLU Pro: 27.01
GPQA: 7.72
MUSR: 2.45
BBH: 23.52
IFEval: 43.38 vs 88 (so35)-50.7%
MATH Lvl 5: 4.68
LLME Score: 0.27288
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MedNarra X1 (PranavHarshan/MedNarra-X1)

MedNarra X1 Parameters and Internals

Model Type 
text-generation
Additional Notes 
MedNarra-X1 is a merge of the 'bongbongs/NewMes-v15' model using LazyMergekit.
Input Output 
Input Format:
messages containing roles and contents
Accepted Modalities:
text
Output Format:
text generated based on input prompts
Performance Tips:
Experiment with different temperature, top_k, and top_p values for varied results.
LLM NameMedNarra X1
Repository 🤗https://huggingface.co/PranavHarshan/MedNarra-X1 
Base Model(s)  NewMes V15   NewMes V15   bongbongs/NewMes-v15   bongbongs/NewMes-v15
Merged ModelYes
Model Size8b
Required VRAM16.1 GB
Updated2025-02-09
MaintainerPranavHarshan
Model Typellama
Model Files  1.1 GB: 1-of-17   1.1 GB: 2-of-17   1.0 GB: 3-of-17   1.0 GB: 4-of-17   1.0 GB: 5-of-17   0.9 GB: 6-of-17   1.0 GB: 7-of-17   1.0 GB: 8-of-17   1.0 GB: 9-of-17   0.9 GB: 10-of-17   1.0 GB: 11-of-17   1.0 GB: 12-of-17   1.0 GB: 13-of-17   0.9 GB: 14-of-17   1.0 GB: 15-of-17   1.0 GB: 16-of-17   0.2 GB: 17-of-17
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.44.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|eot_id|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than PranavHarshan/MedNarra-X1.

Rank the MedNarra X1 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 v20241227
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