Kosolra Kullm by realPCH

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  Autotrain compatible   Dataset:nlpai-lab/kullm-v2   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF ๐Ÿค—: https://huggingface.co/realPCH/kosolra-kullm 

Kosolra Kullm Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Kosolra Kullm (realPCH/kosolra-kullm)
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Kosolra Kullm Parameters and Internals

Model Type 
text generation
Training Details 
Data Sources:
nlpai-lab/kullm-v2
Methodology:
finetuning
LLM NameKosolra Kullm
Repository ๐Ÿค—https://huggingface.co/realPCH/kosolra-kullm 
Model Size10.7b
Required VRAM21.7 GB
Updated2025-09-20
MaintainerrealPCH
Model Typellama
Model Files  5.0 GB: 1-of-5   4.9 GB: 2-of-5   5.0 GB: 3-of-5   4.9 GB: 4-of-5   1.9 GB: 5-of-5
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length4096
Model Max Length4096
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size48000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than realPCH/kosolra-kullm.

Rank the Kosolra Kullm 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