Refine L2 FT DCR by wadhma

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  Merged Model   Arxiv:2407.02397   Autotrain compatible Base model:finetune:meta-llama... Base model:meta-llama/llama-2-...   Conversational   Dataset:wadhma/dcr data   En   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF ๐Ÿค—: https://huggingface.co/wadhma/Refine-L2-FT-DCR 

Refine L2 FT DCR Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Refine L2 FT DCR Parameters and Internals

Model Type 
text-generation
Additional Notes 
The model is designed to generate minimally edited refinements of factually inconsistent summaries based on natural language feedback.
Supported Languages 
en (proficient)
LLM NameRefine L2 FT DCR
Repository ๐Ÿค—https://huggingface.co/wadhma/Refine-L2-FT-DCR 
Base Model(s)  Llama 2 7B Chat Hf   meta-llama/Llama-2-7b-chat-hf
Merged ModelYes
Model Size7b
Required VRAM27.1 GB
Updated2025-06-09
Maintainerwadhma
Model Typellama
Model Files  4.8 GB: 1-of-6   4.9 GB: 2-of-6   4.9 GB: 3-of-6   4.9 GB: 4-of-6   4.9 GB: 5-of-6   2.7 GB: 6-of-6
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length4096
Model Max Length4096
Transformers Version4.40.1
Tokenizer ClassLlamaTokenizer
Padding Token[PAD]
Vocabulary Size32000
Torch Data Typefloat32
Refine L2 FT DCR (wadhma/Refine-L2-FT-DCR)

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Note: green Score (e.g. "73.2") means that the model is better than wadhma/Refine-L2-FT-DCR.

Rank the Refine L2 FT DCR 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 v20241124