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Lloma Step200 by yyh0901

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  Autotrain compatible   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow

Lloma Step200 Benchmarks

ARC: 50.68 vs 96.7 (so35)-47.6%
HellaSwag: 77.15 vs 95.3 (gpt4)-19%
MMLU: 43.64 vs 88.3 (so35)-50.6%
TruthfulQA: 39.81 vs 59 (gpt4)-32.5%
WinoGrande: 70.88 vs 87.5 (gpt4)-19%
GSM8K: 4.17 vs 96.4 (so35)-95.7%
LLME Score: 0.22773
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Lloma Step200 Parameters and Internals

Model Type 
text generation, causal language model
Additional Notes 
Model features an elongated context length.
Training Details 
Context Length:
65536
Model Architecture:
LlamaForCausalLM
LLM NameLloma Step200
Repository 🤗https://huggingface.co/yyh0901/lloma_step200 
Model Size7b
Required VRAM13.5 GB
Updated2024-11-19
Maintaineryyh0901
Model Typellama
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   3.6 GB: 3-of-3
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length65536
Model Max Length65536
Transformers Version4.39.2
Vocabulary Size32000
Torch Data Typebfloat16
Lloma Step200 (yyh0901/lloma_step200)

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Note: green Score (e.g. "73.2") means that the model is better than yyh0901/lloma_step200.

Rank the Lloma Step200 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 v20241110
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